explain the role of assignment operator

Python's Assignment Operator: Write Robust Assignments

Table of Contents

The Assignment Statement Syntax

The assignment operator, assignments and variables, other assignment syntax, initializing and updating variables, making multiple variables refer to the same object, updating lists through indices and slices, adding and updating dictionary keys, doing parallel assignments, unpacking iterables, providing default argument values, augmented mathematical assignment operators, augmented assignments for concatenation and repetition, augmented bitwise assignment operators, annotated assignment statements, assignment expressions with the walrus operator, managed attribute assignments, define or call a function, work with classes, import modules and objects, use a decorator, access the control variable in a for loop or a comprehension, use the as keyword, access the _ special variable in an interactive session, built-in objects, named constants.

Python’s assignment operators allow you to define assignment statements . This type of statement lets you create, initialize, and update variables throughout your code. Variables are a fundamental cornerstone in every piece of code, and assignment statements give you complete control over variable creation and mutation.

Learning about the Python assignment operator and its use for writing assignment statements will arm you with powerful tools for writing better and more robust Python code.

In this tutorial, you’ll:

• Use Python’s assignment operator to write assignment statements
• Take advantage of augmented assignments in Python
• Explore assignment variants, like assignment expressions and managed attributes
• Become aware of illegal and dangerous assignments in Python

You’ll dive deep into Python’s assignment statements. To get the most out of this tutorial, you should be comfortable with several basic topics, including variables , built-in data types , comprehensions , functions , and Python keywords . Before diving into some of the later sections, you should also be familiar with intermediate topics, such as object-oriented programming , constants , imports , type hints , properties , descriptors , and decorators .

Free Source Code: Click here to download the free assignment operator source code that you’ll use to write assignment statements that allow you to create, initialize, and update variables in your code.

Assignment Statements and the Assignment Operator

One of the most powerful programming language features is the ability to create, access, and mutate variables . In Python, a variable is a name that refers to a concrete value or object, allowing you to reuse that value or object throughout your code.

To create a new variable or to update the value of an existing one in Python, you’ll use an assignment statement . This statement has the following three components:

• A left operand, which must be a variable
• The assignment operator ( = )
• A right operand, which can be a concrete value , an object , or an expression

Here’s how an assignment statement will generally look in Python:

Here, variable represents a generic Python variable, while expression represents any Python object that you can provide as a concrete value—also known as a literal —or an expression that evaluates to a value.

To execute an assignment statement like the above, Python runs the following steps:

• Evaluate the right-hand expression to produce a concrete value or object . This value will live at a specific memory address in your computer.
• Store the object’s memory address in the left-hand variable . This step creates a new variable if the current one doesn’t already exist or updates the value of an existing variable.

The second step shows that variables work differently in Python than in other programming languages. In Python, variables aren’t containers for objects. Python variables point to a value or object through its memory address. They store memory addresses rather than objects.

This behavior difference directly impacts how data moves around in Python, which is always by reference . In most cases, this difference is irrelevant in your day-to-day coding, but it’s still good to know.

The central component of an assignment statement is the assignment operator . This operator is represented by the = symbol, which separates two operands:

• A value or an expression that evaluates to a concrete value

Operators are special symbols that perform mathematical , logical , and bitwise operations in a programming language. The objects (or object) on which an operator operates are called operands .

Unary operators, like the not Boolean operator, operate on a single object or operand, while binary operators act on two. That means the assignment operator is a binary operator.

Note: Like C , Python uses == for equality comparisons and = for assignments. Unlike C, Python doesn’t allow you to accidentally use the assignment operator ( = ) in an equality comparison.

Equality is a symmetrical relationship, and assignment is not. For example, the expression a == 42 is equivalent to 42 == a . In contrast, the statement a = 42 is correct and legal, while 42 = a isn’t allowed. You’ll learn more about illegal assignments later on.

The right-hand operand in an assignment statement can be any Python object, such as a number , list , string , dictionary , or even a user-defined object. It can also be an expression. In the end, expressions always evaluate to concrete objects, which is their return value.

Here are a few examples of assignments in Python:

The first two sample assignments in this code snippet use concrete values, also known as literals , to create and initialize number and greeting . The third example assigns the result of a math expression to the total variable, while the last example uses a Boolean expression.

Note: You can use the built-in id() function to inspect the memory address stored in a given variable.

Here’s a short example of how this function works:

The number in your output represents the memory address stored in number . Through this address, Python can access the content of number , which is the integer 42 in this example.

If you run this code on your computer, then you’ll get a different memory address because this value varies from execution to execution and computer to computer.

Unlike expressions, assignment statements don’t have a return value because their purpose is to make the association between the variable and its value. That’s why the Python interpreter doesn’t issue any output in the above examples.

Now that you know the basics of how to write an assignment statement, it’s time to tackle why you would want to use one.

The assignment statement is the explicit way for you to associate a name with an object in Python. You can use this statement for two main purposes:

• Creating and initializing new variables
• Updating the values of existing variables

When you use a variable name as the left operand in an assignment statement for the first time, you’re creating a new variable. At the same time, you’re initializing the variable to point to the value of the right operand.

On the other hand, when you use an existing variable in a new assignment, you’re updating or mutating the variable’s value. Strictly speaking, every new assignment will make the variable refer to a new value and stop referring to the old one. Python will garbage-collect all the values that are no longer referenced by any existing variable.

Assignment statements not only assign a value to a variable but also determine the data type of the variable at hand. This additional behavior is another important detail to consider in this kind of statement.

Because Python is a dynamically typed language, successive assignments to a given variable can change the variable’s data type. Changing the data type of a variable during a program’s execution is considered bad practice and highly discouraged. It can lead to subtle bugs that can be difficult to track down.

Unlike in math equations, in Python assignments, the left operand must be a variable rather than an expression or a value. For example, the following construct is illegal, and Python flags it as invalid syntax:

In this example, you have expressions on both sides of the = sign, and this isn’t allowed in Python code. The error message suggests that you may be confusing the equality operator with the assignment one, but that’s not the case. You’re really running an invalid assignment.

To correct this construct and convert it into a valid assignment, you’ll have to do something like the following:

In this code snippet, you first import the sqrt() function from the math module. Then you isolate the hypotenuse variable in the original equation by using the sqrt() function. Now your code works correctly.

Now you know what kind of syntax is invalid. But don’t get the idea that assignment statements are rigid and inflexible. In fact, they offer lots of room for customization, as you’ll learn next.

Python’s assignment statements are pretty flexible and versatile. You can write them in several ways, depending on your specific needs and preferences. Here’s a quick summary of the main ways to write assignments in Python:

Up to this point, you’ve mostly learned about the base assignment syntax in the above code snippet. In the following sections, you’ll learn about multiple, parallel, and augmented assignments. You’ll also learn about assignments with iterable unpacking.

Read on to see the assignment statements in action!

Assignment Statements in Action

You’ll find and use assignment statements everywhere in your Python code. They’re a fundamental part of the language, providing an explicit way to create, initialize, and mutate variables.

You can use assignment statements with plain names, like number or counter . You can also use assignments in more complicated scenarios, such as with:

• Qualified attribute names , like user.name
• Indices and slices of mutable sequences, like a_list[i] and a_list[i:j]
• Dictionary keys , like a_dict[key]

This list isn’t exhaustive. However, it gives you some idea of how flexible these statements are. You can even assign multiple values to an equal number of variables in a single line, commonly known as parallel assignment . Additionally, you can simultaneously assign the values in an iterable to a comma-separated group of variables in what’s known as an iterable unpacking operation.

In the following sections, you’ll dive deeper into all these topics and a few other exciting things that you can do with assignment statements in Python.

The most elementary use case of an assignment statement is to create a new variable and initialize it using a particular value or expression:

All these statements create new variables, assigning them initial values or expressions. For an initial value, you should always use the most sensible and least surprising value that you can think of. For example, initializing a counter to something different from 0 may be confusing and unexpected because counters almost always start having counted no objects.

Updating a variable’s current value or state is another common use case of assignment statements. In Python, assigning a new value to an existing variable doesn’t modify the variable’s current value. Instead, it causes the variable to refer to a different value. The previous value will be garbage-collected if no other variable refers to it.

Consider the following examples:

These examples run two consecutive assignments on the same variable. The first one assigns the string "Hello, World!" to a new variable named greeting .

The second assignment updates the value of greeting by reassigning it the "Hi, Pythonistas!" string. In this example, the original value of greeting —the "Hello, World!" string— is lost and garbage-collected. From this point on, you can’t access the old "Hello, World!" string.

Even though running multiple assignments on the same variable during a program’s execution is common practice, you should use this feature with caution. Changing the value of a variable can make your code difficult to read, understand, and debug. To comprehend the code fully, you’ll have to remember all the places where the variable was changed and the sequential order of those changes.

Because assignments also define the data type of their target variables, it’s also possible for your code to accidentally change the type of a given variable at runtime. A change like this can lead to breaking errors, like AttributeError exceptions. Remember that strings don’t have the same methods and attributes as lists or dictionaries, for example.

In Python, you can make several variables reference the same object in a multiple-assignment line. This can be useful when you want to initialize several similar variables using the same initial value:

In this example, you chain two assignment operators in a single line. This way, your two variables refer to the same initial value of 0 . Note how both variables hold the same memory address, so they point to the same instance of 0 .

When it comes to integer variables, Python exhibits a curious behavior. It provides a numeric interval where multiple assignments behave the same as independent assignments. Consider the following examples:

To create n and m , you use independent assignments. Therefore, they should point to different instances of the number 42 . However, both variables hold the same object, which you confirm by comparing their corresponding memory addresses.

Now check what happens when you use a greater initial value:

Now n and m hold different memory addresses, which means they point to different instances of the integer number 300 . In contrast, when you use multiple assignments, both variables refer to the same object. This tiny difference can save you small bits of memory if you frequently initialize integer variables in your code.

The implicit behavior of making independent assignments point to the same integer number is actually an optimization called interning . It consists of globally caching the most commonly used integer values in day-to-day programming.

Under the hood, Python defines a numeric interval in which interning takes place. That’s the interning interval for integer numbers. You can determine this interval using a small script like the following:

This script helps you determine the interning interval by comparing integer numbers from -10 to 500 . If you run the script from your command line, then you’ll get an output like the following:

This output means that if you use a single number between -5 and 256 to initialize several variables in independent statements, then all these variables will point to the same object, which will help you save small bits of memory in your code.

In contrast, if you use a number that falls outside of the interning interval, then your variables will point to different objects instead. Each of these objects will occupy a different memory spot.

You can use the assignment operator to mutate the value stored at a given index in a Python list. The operator also works with list slices . The syntax to write these types of assignment statements is the following:

In the first construct, expression can return any Python object, including another list. In the second construct, expression must return a series of values as a list, tuple, or any other sequence. You’ll get a TypeError if expression returns a single value.

Note: When creating slice objects, you can use up to three arguments. These arguments are start , stop , and step . They define the number that starts the slice, the number at which the slicing must stop retrieving values, and the step between values.

Here’s an example of updating an individual value in a list:

In this example, you update the value at index 2 using an assignment statement. The original number at that index was 7 , and after the assignment, the number is 3 .

Note: Using indices and the assignment operator to update a value in a tuple or a character in a string isn’t possible because tuples and strings are immutable data types in Python.

Their immutability means that you can’t change their items in place :

You can’t use the assignment operator to change individual items in tuples or strings. These data types are immutable and don’t support item assignments.

It’s important to note that you can’t add new values to a list by using indices that don’t exist in the target list:

In this example, you try to add a new value to the end of numbers by using an index that doesn’t exist. This assignment isn’t allowed because there’s no way to guarantee that new indices will be consecutive. If you ever want to add a single value to the end of a list, then use the .append() method.

If you want to update several consecutive values in a list, then you can use slicing and an assignment statement:

In the first example, you update the letters between indices 1 and 3 without including the letter at 3 . The second example updates the letters from index 3 until the end of the list. Note that this slicing appends a new value to the list because the target slice is shorter than the assigned values.

Also note that the new values were provided through a tuple, which means that this type of assignment allows you to use other types of sequences to update your target list.

The third example updates a single value using a slice where both indices are equal. In this example, the assignment inserts a new item into your target list.

In the final example, you use a step of 2 to replace alternating letters with their lowercase counterparts. This slicing starts at index 1 and runs through the whole list, stepping by two items each time.

Updating the value of an existing key or adding new key-value pairs to a dictionary is another common use case of assignment statements. To do these operations, you can use the following syntax:

The first construct helps you update the current value of an existing key, while the second construct allows you to add a new key-value pair to the dictionary.

For example, to update an existing key, you can do something like this:

In this example, you update the current inventory of oranges in your store using an assignment. The left operand is the existing dictionary key, and the right operand is the desired new value.

While you can’t add new values to a list by assignment, dictionaries do allow you to add new key-value pairs using the assignment operator. In the example below, you add a lemon key to inventory :

In this example, you successfully add a new key-value pair to your inventory with 100 units. This addition is possible because dictionaries don’t have consecutive indices but unique keys, which are safe to add by assignment.

The assignment statement does more than assign the result of a single expression to a single variable. It can also cope nicely with assigning multiple values to multiple variables simultaneously in what’s known as a parallel assignment .

Here’s the general syntax for parallel assignments in Python:

Note that the left side of the statement can be either a tuple or a list of variables. Remember that to create a tuple, you just need a series of comma-separated elements. In this case, these elements must be variables.

The right side of the statement must be a sequence or iterable of values or expressions. In any case, the number of elements in the right operand must match the number of variables on the left. Otherwise, you’ll get a ValueError exception.

In the following example, you compute the two solutions of a quadratic equation using a parallel assignment:

In this example, you first import sqrt() from the math module. Then you initialize the equation’s coefficients in a parallel assignment.

The equation’s solution is computed in another parallel assignment. The left operand contains a tuple of two variables, x1 and x2 . The right operand consists of a tuple of expressions that compute the solutions for the equation. Note how each result is assigned to each variable by position.

A classical use case of parallel assignment is to swap values between variables:

The highlighted line does the magic and swaps the values of previous_value and next_value at the same time. Note that in a programming language that doesn’t support this kind of assignment, you’d have to use a temporary variable to produce the same effect:

In this example, instead of using parallel assignment to swap values between variables, you use a new variable to temporarily store the value of previous_value to avoid losing its reference.

For a concrete example of when you’d need to swap values between variables, say you’re learning how to implement the bubble sort algorithm , and you come up with the following function:

In the highlighted line, you use a parallel assignment to swap values in place if the current value is less than the next value in the input list. To dive deeper into the bubble sort algorithm and into sorting algorithms in general, check out Sorting Algorithms in Python .

You can use assignment statements for iterable unpacking in Python. Unpacking an iterable means assigning its values to a series of variables one by one. The iterable must be the right operand in the assignment, while the variables must be the left operand.

Like in parallel assignments, the variables must come as a tuple or list. The number of variables must match the number of values in the iterable. Alternatively, you can use the unpacking operator ( * ) to grab several values in a variable if the number of variables doesn’t match the iterable length.

Here’s the general syntax for iterable unpacking in Python:

Iterable unpacking is a powerful feature that you can use all around your code. It can help you write more readable and concise code. For example, you may find yourself doing something like this:

Whenever you do something like this in your code, go ahead and replace it with a more readable iterable unpacking using a single and elegant assignment, like in the following code snippet:

The numbers list on the right side contains four values. The assignment operator unpacks these values into the four variables on the left side of the statement. The values in numbers get assigned to variables in the same order that they appear in the iterable. The assignment is done by position.

Note: Because Python sets are also iterables, you can use them in an iterable unpacking operation. However, it won’t be clear which value goes to which variable because sets are unordered data structures.

The above example shows the most common form of iterable unpacking in Python. The main condition for the example to work is that the number of variables matches the number of values in the iterable.

What if you don’t know the iterable length upfront? Will the unpacking work? It’ll work if you use the * operator to pack several values into one of your target variables.

For example, say that you want to unpack the first and second values in numbers into two different variables. Additionally, you would like to pack the rest of the values in a single variable conveniently called rest . In this case, you can use the unpacking operator like in the following code:

In this example, first and second hold the first and second values in numbers , respectively. These values are assigned by position. The * operator packs all the remaining values in the input iterable into rest .

The unpacking operator ( * ) can appear at any position in your series of target variables. However, you can only use one instance of the operator:

The iterable unpacking operator works in any position in your list of variables. Note that you can only use one unpacking operator per assignment. Using more than one unpacking operator isn’t allowed and raises a SyntaxError .

Dropping away unwanted values from the iterable is a common use case for the iterable unpacking operator. Consider the following example:

In Python, if you want to signal that a variable won’t be used, then you use an underscore ( _ ) as the variable’s name. In this example, useful holds the only value that you need to use from the input iterable. The _ variable is a placeholder that guarantees that the unpacking works correctly. You won’t use the values that end up in this disposable variable.

Note: In the example above, if your target iterable is a sequence data type, such as a list or tuple, then it’s best to access its last item directly.

To do this, you can use the -1 index:

Using -1 gives you access to the last item of any sequence data type. In contrast, if you’re dealing with iterators , then you won’t be able to use indices. That’s when the *_ syntax comes to your rescue.

The pattern used in the above example comes in handy when you have a function that returns multiple values, and you only need a few of these values in your code. The os.walk() function may provide a good example of this situation.

This function allows you to iterate over the content of a directory recursively. The function returns a generator object that yields three-item tuples. Each tuple contains the following items:

• The path to the current directory as a string
• The names of all the immediate subdirectories as a list of strings
• The names of all the files in the current directory as a list of strings

Now say that you want to iterate over your home directory and list only the files. You can do something like this:

This code will issue a long output depending on the current content of your home directory. Note that you need to provide a string with the path to your user folder for the example to work. The _ placeholder variable will hold the unwanted data.

In contrast, the filenames variable will hold the list of files in the current directory, which is the data that you need. The code will print the list of filenames. Go ahead and give it a try!

The assignment operator also comes in handy when you need to provide default argument values in your functions and methods. Default argument values allow you to define functions that take arguments with sensible defaults. These defaults allow you to call the function with specific values or to simply rely on the defaults.

As an example, consider the following function:

This function takes one argument, called name . This argument has a sensible default value that’ll be used when you call the function without arguments. To provide this sensible default value, you use an assignment.

Note: According to PEP 8 , the style guide for Python code, you shouldn’t use spaces around the assignment operator when providing default argument values in function definitions.

Here’s how the function works:

If you don’t provide a name during the call to greet() , then the function uses the default value provided in the definition. If you provide a name, then the function uses it instead of the default one.

Up to this point, you’ve learned a lot about the Python assignment operator and how to use it for writing different types of assignment statements. In the following sections, you’ll dive into a great feature of assignment statements in Python. You’ll learn about augmented assignments .

Augmented Assignment Operators in Python

Python supports what are known as augmented assignments . An augmented assignment combines the assignment operator with another operator to make the statement more concise. Most Python math and bitwise operators have an augmented assignment variation that looks something like this:

Note that $ isn’t a valid Python operator. In this example, it’s a placeholder for a generic operator. This statement works as follows:

• Evaluate expression to produce a value.
• Run the operation defined by the operator that prefixes the = sign, using the previous value of variable and the return value of expression as operands.
• Assign the resulting value back to variable .

In practice, an augmented assignment like the above is equivalent to the following statement:

As you can conclude, augmented assignments are syntactic sugar . They provide a shorthand notation for a specific and popular kind of assignment.

For example, say that you need to define a counter variable to count some stuff in your code. You can use the += operator to increment counter by 1 using the following code:

In this example, the += operator, known as augmented addition , adds 1 to the previous value in counter each time you run the statement counter += 1 .

It’s important to note that unlike regular assignments, augmented assignments don’t create new variables. They only allow you to update existing variables. If you use an augmented assignment with an undefined variable, then you get a NameError :

Python evaluates the right side of the statement before assigning the resulting value back to the target variable. In this specific example, when Python tries to compute x + 1 , it finds that x isn’t defined.

Great! You now know that an augmented assignment consists of combining the assignment operator with another operator, like a math or bitwise operator. To continue this discussion, you’ll learn which math operators have an augmented variation in Python.

An equation like x = x + b doesn’t make sense in math. But in programming, a statement like x = x + b is perfectly valid and can be extremely useful. It adds b to x and reassigns the result back to x .

As you already learned, Python provides an operator to shorten x = x + b . Yes, the += operator allows you to write x += b instead. Python also offers augmented assignment operators for most math operators. Here’s a summary:

The Example column provides generic examples of how to use the operators in actual code. Note that x must be previously defined for the operators to work correctly. On the other hand, y can be either a concrete value or an expression that returns a value.

Note: The matrix multiplication operator ( @ ) doesn’t support augmented assignments yet.

Consider the following example of matrix multiplication using NumPy arrays:

Note that the exception traceback indicates that the operation isn’t supported yet.

To illustrate how augmented assignment operators work, say that you need to create a function that takes an iterable of numeric values and returns their sum. You can write this function like in the code below:

In this function, you first initialize total to 0 . In each iteration, the loop adds a new number to total using the augmented addition operator ( += ). When the loop terminates, total holds the sum of all the input numbers. Variables like total are known as accumulators . The += operator is typically used to update accumulators.

Note: Computing the sum of a series of numeric values is a common operation in programming. Python provides the built-in sum() function for this specific computation.

Another interesting example of using an augmented assignment is when you need to implement a countdown while loop to reverse an iterable. In this case, you can use the -= operator:

In this example, custom_reversed() is a generator function because it uses yield . Calling the function creates an iterator that yields items from the input iterable in reverse order. To decrement the control variable, index , you use an augmented subtraction statement that subtracts 1 from the variable in every iteration.

Note: Similar to summing the values in an iterable, reversing an iterable is also a common requirement. Python provides the built-in reversed() function for this specific computation, so you don’t have to implement your own. The above example only intends to show the -= operator in action.

Finally, counters are a special type of accumulators that allow you to count objects. Here’s an example of a letter counter:

To create this counter, you use a Python dictionary. The keys store the letters. The values store the counts. Again, to increment the counter, you use an augmented addition.

Counters are so common in programming that Python provides a tool specially designed to facilitate the task of counting. Check out Python’s Counter: The Pythonic Way to Count Objects for a complete guide on how to use this tool.

The += and *= augmented assignment operators also work with sequences , such as lists, tuples, and strings. The += operator performs augmented concatenations , while the *= operator performs augmented repetition .

These operators behave differently with mutable and immutable data types:

Note that the augmented concatenation operator operates on two sequences, while the augmented repetition operator works on a sequence and an integer number.

Consider the following examples and pay attention to the result of calling the id() function:

Mutable sequences like lists support the += augmented assignment operator through the .__iadd__() method, which performs an in-place addition. This method mutates the underlying list, appending new values to its end.

Note: If the left operand is mutable, then x += y may not be completely equivalent to x = x + y . For example, if you do list_1 = list_1 + list_2 instead of list_1 += list_2 above, then you’ll create a new list instead of mutating the existing one. This may be important if other variables refer to the same list.

Immutable sequences, such as tuples and strings, don’t provide an .__iadd__() method. Therefore, augmented concatenations fall back to the .__add__() method, which doesn’t modify the sequence in place but returns a new sequence.

There’s another difference between mutable and immutable sequences when you use them in an augmented concatenation. Consider the following examples:

With mutable sequences, the data to be concatenated can come as a list, tuple, string, or any other iterable. In contrast, with immutable sequences, the data can only come as objects of the same type. You can concatenate tuples to tuples and strings to strings, for example.

Again, the augmented repetition operator works with a sequence on the left side of the operator and an integer on the right side. This integer value represents the number of repetitions to get in the resulting sequence:

When the *= operator operates on a mutable sequence, it falls back to the .__imul__() method, which performs the operation in place, modifying the underlying sequence. In contrast, if *= operates on an immutable sequence, then .__mul__() is called, returning a new sequence of the same type.

Note: Values of n less than 0 are treated as 0 , which returns an empty sequence of the same data type as the target sequence on the left side of the *= operand.

Note that a_list[0] is a_list[3] returns True . This is because the *= operator doesn’t make a copy of the repeated data. It only reflects the data. This behavior can be a source of issues when you use the operator with mutable values.

For example, say that you want to create a list of lists to represent a matrix, and you need to initialize the list with n empty lists, like in the following code:

In this example, you use the *= operator to populate matrix with three empty lists. Now check out what happens when you try to populate the first sublist in matrix :

The appended values are reflected in the three sublists. This happens because the *= operator doesn’t make copies of the data that you want to repeat. It only reflects the data. Therefore, every sublist in matrix points to the same object and memory address.

If you ever need to initialize a list with a bunch of empty sublists, then use a list comprehension :

This time, when you populate the first sublist of matrix , your changes aren’t propagated to the other sublists. This is because all the sublists are different objects that live in different memory addresses.

Bitwise operators also have their augmented versions. The logic behind them is similar to that of the math operators. The following table summarizes the augmented bitwise operators that Python provides:

The augmented bitwise assignment operators perform the intended operation by taking the current value of the left operand as a starting point for the computation. Consider the following example, which uses the & and &= operators:

Programmers who work with high-level languages like Python rarely use bitwise operations in day-to-day coding. However, these types of operations can be useful in some situations.

For example, say that you’re implementing a Unix-style permission system for your users to access a given resource. In this case, you can use the characters "r" for reading, "w" for writing, and "x" for execution permissions, respectively. However, using bit-based permissions could be more memory efficient:

You can assign permissions to your users with the OR bitwise operator or the augmented OR bitwise operator. Finally, you can use the bitwise AND operator to check if a user has a certain permission, as you did in the final two examples.

You’ve learned a lot about augmented assignment operators and statements in this and the previous sections. These operators apply to math, concatenation, repetition, and bitwise operations. Now you’re ready to look at other assignment variants that you can use in your code or find in other developers’ code.

Other Assignment Variants

So far, you’ve learned that Python’s assignment statements and the assignment operator are present in many different scenarios and use cases. Those use cases include variable creation and initialization, parallel assignments, iterable unpacking, augmented assignments, and more.

In the following sections, you’ll learn about a few variants of assignment statements that can be useful in your future coding. You can also find these assignment variants in other developers’ code. So, you should be aware of them and know how they work in practice.

In short, you’ll learn about:

• Annotated assignment statements with type hints
• Assignment expressions with the walrus operator
• Managed attribute assignments with properties and descriptors
• Implicit assignments in Python

These topics will take you through several interesting and useful examples that showcase the power of Python’s assignment statements.

PEP 526 introduced a dedicated syntax for variable annotation back in Python 3.6 . The syntax consists of the variable name followed by a colon ( : ) and the variable type:

Even though these statements declare three variables with their corresponding data types, the variables aren’t actually created or initialized. So, for example, you can’t use any of these variables in an augmented assignment statement:

If you try to use one of the previously declared variables in an augmented assignment, then you get a NameError because the annotation syntax doesn’t define the variable. To actually define it, you need to use an assignment.

The good news is that you can use the variable annotation syntax in an assignment statement with the = operator:

The first statement in this example is what you can call an annotated assignment statement in Python. You may ask yourself why you should use type annotations in this type of assignment if everybody can see that counter holds an integer number. You’re right. In this example, the variable type is unambiguous.

However, imagine what would happen if you found a variable initialization like the following:

What would be the data type of each user in users ? If the initialization of users is far away from the definition of the User class, then there’s no quick way to answer this question. To clarify this ambiguity, you can provide the appropriate type hint for users :

Now you’re clearly communicating that users will hold a list of User instances. Using type hints in assignment statements that initialize variables to empty collection data types—such as lists, tuples, or dictionaries—allows you to provide more context about how your code works. This practice will make your code more explicit and less error-prone.

Up to this point, you’ve learned that regular assignment statements with the = operator don’t have a return value. They just create or update variables. Therefore, you can’t use a regular assignment to assign a value to a variable within the context of an expression.

Python 3.8 changed this by introducing a new type of assignment statement through PEP 572 . This new statement is known as an assignment expression or named expression .

Note: Expressions are a special type of statement in Python. Their distinguishing characteristic is that expressions always have a return value, which isn’t the case with all types of statements.

Unlike regular assignments, assignment expressions have a return value, which is why they’re called expressions in the first place. This return value is automatically assigned to a variable. To write an assignment expression, you must use the walrus operator ( := ), which was named for its resemblance to the eyes and tusks of a walrus lying on its side.

The general syntax of an assignment statement is as follows:

This expression looks like a regular assignment. However, instead of using the assignment operator ( = ), it uses the walrus operator ( := ). For the expression to work correctly, the enclosing parentheses are required in most use cases. However, there are certain situations in which these parentheses are superfluous. Either way, they won’t hurt you.

Assignment expressions come in handy when you want to reuse the result of an expression or part of an expression without using a dedicated assignment to grab this value beforehand.

Note: Assignment expressions with the walrus operator have several practical use cases. They also have a few restrictions. For example, they’re illegal in certain contexts, such as lambda functions, parallel assignments, and augmented assignments.

For a deep dive into this special type of assignment, check out The Walrus Operator: Python 3.8 Assignment Expressions .

A particularly handy use case for assignment expressions is when you need to grab the result of an expression used in the context of a conditional statement. For example, say that you need to write a function to compute the mean of a sample of numeric values. Without the walrus operator, you could do something like this:

In this example, the sample size ( n ) is a value that you need to reuse in two different computations. First, you need to check whether the sample has data points or not. Then you need to use the sample size to compute the mean. To be able to reuse n , you wrote a dedicated assignment statement at the beginning of your function to grab the sample size.

You can avoid this extra step by combining it with the first use of the target value, len(sample) , using an assignment expression like the following:

The assignment expression introduced in the conditional computes the sample size and assigns it to n . This way, you guarantee that you have a reference to the sample size to use in further computations.

Because the assignment expression returns the sample size anyway, the conditional can check whether that size equals 0 or not and then take a certain course of action depending on the result of this check. The return statement computes the sample’s mean and sends the result back to the function caller.

Python provides a few tools that allow you to fine-tune the operations behind the assignment of attributes. The attributes that run implicit operations on assignments are commonly referred to as managed attributes .

Properties are the most commonly used tool for providing managed attributes in your classes. However, you can also use descriptors and, in some cases, the .__setitem__() special method.

To understand what fine-tuning the operation behind an assignment means, say that you need a Point class that only allows numeric values for its coordinates, x and y . To write this class, you must set up a validation mechanism to reject non-numeric values. You can use properties to attach the validation functionality on top of x and y .

Here’s how you can write your class:

In Point , you use properties for the .x and .y coordinates. Each property has a getter and a setter method . The getter method returns the attribute at hand. The setter method runs the input validation using a try … except block and the built-in float() function. Then the method assigns the result to the actual attribute.

Here’s how your class works in practice:

When you use a property-based attribute as the left operand in an assignment statement, Python automatically calls the property’s setter method, running any computation from it.

Because both .x and .y are properties, the input validation runs whenever you assign a value to either attribute. In the first example, the input values are valid numbers and the validation passes. In the final example, "one" isn’t a valid numeric value, so the validation fails.

If you look at your Point class, you’ll note that it follows a repetitive pattern, with the getter and setter methods looking quite similar. To avoid this repetition, you can use a descriptor instead of a property.

A descriptor is a class that implements the descriptor protocol , which consists of four special methods :

• .__get__() runs when you access the attribute represented by the descriptor.
• .__set__() runs when you use the attribute in an assignment statement.
• .__delete__() runs when you use the attribute in a del statement.
• .__set_name__() sets the attribute’s name, creating a name-aware attribute.

Here’s how your code may look if you use a descriptor to represent the coordinates of your Point class:

You’ve removed repetitive code by defining Coordinate as a descriptor that manages the input validation in a single place. Go ahead and run the following code to try out the new implementation of Point :

Great! The class works as expected. Thanks to the Coordinate descriptor, you now have a more concise and non-repetitive version of your original code.

Another way to fine-tune the operations behind an assignment statement is to provide a custom implementation of .__setitem__() in your class. You’ll use this method in classes representing mutable data collections, such as custom list-like or dictionary-like classes.

As an example, say that you need to create a dictionary-like class that stores its keys in lowercase letters:

In this example, you create a dictionary-like class by subclassing UserDict from collections . Your class implements a .__setitem__() method, which takes key and value as arguments. The method uses str.lower() to convert key into lowercase letters before storing it in the underlying dictionary.

Python implicitly calls .__setitem__() every time you use a key as the left operand in an assignment statement. This behavior allows you to tweak how you process the assignment of keys in your custom dictionary.

Implicit Assignments in Python

Python implicitly runs assignments in many different contexts. In most cases, these implicit assignments are part of the language syntax. In other cases, they support specific behaviors.

Whenever you complete an action in the following list, Python runs an implicit assignment for you:

• Define or call a function
• Define or instantiate a class
• Use the current instance , self
• Import modules and objects
• Use a decorator
• Use the control variable in a for loop or a comprehension
• Use the as qualifier in with statements , imports, and try … except blocks
• Access the _ special variable in an interactive session

Behind the scenes, Python performs an assignment in every one of the above situations. In the following subsections, you’ll take a tour of all these situations.

When you define a function, the def keyword implicitly assigns a function object to your function’s name. Here’s an example:

From this point on, the name greet refers to a function object that lives at a given memory address in your computer. You can call the function using its name and a pair of parentheses with appropriate arguments. This way, you can reuse greet() wherever you need it.

If you call your greet() function with fellow as an argument, then Python implicitly assigns the input argument value to the name parameter on the function’s definition. The parameter will hold a reference to the input arguments.

When you define a class with the class keyword, you’re assigning a specific name to a class object . You can later use this name to create instances of that class. Consider the following example:

In this example, the name User holds a reference to a class object, which was defined in __main__.User . Like with a function, when you call the class’s constructor with the appropriate arguments to create an instance, Python assigns the arguments to the parameters defined in the class initializer .

Another example of implicit assignments is the current instance of a class, which in Python is called self by convention. This name implicitly gets a reference to the current object whenever you instantiate a class. Thanks to this implicit assignment, you can access .name and .job from within the class without getting a NameError in your code.

Import statements are another variant of implicit assignments in Python. Through an import statement, you assign a name to a module object, class, function, or any other imported object. This name is then created in your current namespace so that you can access it later in your code:

In this example, you import the sys module object from the standard library and assign it to the sys name, which is now available in your namespace, as you can conclude from the second call to the built-in dir() function.

You also run an implicit assignment when you use a decorator in your code. The decorator syntax is just a shortcut for a formal assignment like the following:

Here, you call decorator() with a function object as an argument. This call will typically add functionality on top of the existing function, func() , and return a function object, which is then reassigned to the func name.

The decorator syntax is syntactic sugar for replacing the previous assignment, which you can now write as follows:

Even though this new code looks pretty different from the above assignment, the code implicitly runs the same steps.

Another situation in which Python automatically runs an implicit assignment is when you use a for loop or a comprehension. In both cases, you can have one or more control variables that you then use in the loop or comprehension body:

The memory address of control_variable changes on each iteration of the loop. This is because Python internally reassigns a new value from the loop iterable to the loop control variable on each cycle.

The same behavior appears in comprehensions:

In the end, comprehensions work like for loops but use a more concise syntax. This comprehension creates a new list of strings that mimic the output from the previous example.

The as keyword in with statements, except clauses, and import statements is another example of an implicit assignment in Python. This time, the assignment isn’t completely implicit because the as keyword provides an explicit way to define the target variable.

In a with statement, the target variable that follows the as keyword will hold a reference to the context manager that you’re working with. As an example, say that you have a hello.txt file with the following content:

You want to open this file and print each of its lines on your screen. In this case, you can use the with statement to open the file using the built-in open() function.

In the example below, you accomplish this. You also add some calls to print() that display information about the target variable defined by the as keyword:

This with statement uses the open() function to open hello.txt . The open() function is a context manager that returns a text file object represented by an io.TextIOWrapper instance.

Since you’ve defined a hello target variable with the as keyword, now that variable holds a reference to the file object itself. You confirm this by printing the object and its memory address. Finally, the for loop iterates over the lines and prints this content to the screen.

When it comes to using the as keyword in the context of an except clause, the target variable will contain an exception object if any exception occurs:

In this example, you run a division that raises a ZeroDivisionError . The as keyword assigns the raised exception to error . Note that when you print the exception object, you get only the message because exceptions have a custom .__str__() method that supports this behavior.

There’s a final detail to remember when using the as specifier in a try … except block like the one in the above example. Once you leave the except block, the target variable goes out of scope , and you can’t use it anymore.

Finally, Python’s import statements also support the as keyword. In this context, you can use as to import objects with a different name:

In these examples, you use the as keyword to import the numpy package with the np name and pandas with the name pd . If you call dir() , then you’ll realize that np and pd are now in your namespace. However, the numpy and pandas names are not.

Using the as keyword in your imports comes in handy when you want to use shorter names for your objects or when you need to use different objects that originally had the same name in your code. It’s also useful when you want to make your imported names non-public using a leading underscore, like in import sys as _sys .

The final implicit assignment that you’ll learn about in this tutorial only occurs when you’re using Python in an interactive session. Every time you run a statement that returns a value, the interpreter stores the result in a special variable denoted by a single underscore character ( _ ).

You can access this special variable as you’d access any other variable:

These examples cover several situations in which Python internally uses the _ variable. The first two examples evaluate expressions. Expressions always have a return value, which is automatically assigned to the _ variable every time.

When it comes to function calls, note that if your function returns a fruitful value, then _ will hold it. In contrast, if your function returns None , then the _ variable will remain untouched.

The next example consists of a regular assignment statement. As you already know, regular assignments don’t return any value, so the _ variable isn’t updated after these statements run. Finally, note that accessing a variable in an interactive session returns the value stored in the target variable. This value is then assigned to the _ variable.

Note that since _ is a regular variable, you can use it in other expressions:

In this example, you first create a list of values. Then you call len() to get the number of values in the list. Python automatically stores this value in the _ variable. Finally, you use _ to compute the mean of your list of values.

Now that you’ve learned about some of the implicit assignments that Python runs under the hood, it’s time to dig into a final assignment-related topic. In the following few sections, you’ll learn about some illegal and dangerous assignments that you should be aware of and avoid in your code.

Illegal and Dangerous Assignments in Python

In Python, you’ll find a few situations in which using assignments is either forbidden or dangerous. You must be aware of these special situations and try to avoid them in your code.

In the following sections, you’ll learn when using assignment statements isn’t allowed in Python. You’ll also learn about some situations in which using assignments should be avoided if you want to keep your code consistent and robust.

You can’t use Python keywords as variable names in assignment statements. This kind of assignment is explicitly forbidden. If you try to use a keyword as a variable name in an assignment, then you get a SyntaxError :

Whenever you try to use a keyword as the left operand in an assignment statement, you get a SyntaxError . Keywords are an intrinsic part of the language and can’t be overridden.

If you ever feel the need to name one of your variables using a Python keyword, then you can append an underscore to the name of your variable:

In this example, you’re using the desired name for your variables. Because you added a final underscore to the names, Python doesn’t recognize them as keywords, so it doesn’t raise an error.

Note: Even though adding an underscore at the end of a name is an officially recommended practice , it can be confusing sometimes. Therefore, try to find an alternative name or use a synonym whenever you find yourself using this convention.

For example, you can write something like this:

In this example, using the name booking_class for your variable is way clearer and more descriptive than using class_ .

You’ll also find that you can use only a few keywords as part of the right operand in an assignment statement. Those keywords will generally define simple statements that return a value or object. These include lambda , and , or , not , True , False , None , in , and is . You can also use the for keyword when it’s part of a comprehension and the if keyword when it’s used as part of a ternary operator .

In an assignment, you can never use a compound statement as the right operand. Compound statements are those that require an indented block, such as for and while loops, conditionals, with statements, try … except blocks, and class or function definitions.

Sometimes, you need to name variables, but the desired or ideal name is already taken and used as a built-in name. If this is your case, think harder and find another name. Don’t shadow the built-in.

Shadowing built-in names can cause hard-to-identify problems in your code. A common example of this issue is using list or dict to name user-defined variables. In this case, you override the corresponding built-in names, which won’t work as expected if you use them later in your code.

Consider the following example:

The exception in this example may sound surprising. How come you can’t use list() to build a list from a call to map() that returns a generator of square numbers?

By using the name list to identify your list of numbers, you shadowed the built-in list name. Now that name points to a list object rather than the built-in class. List objects aren’t callable, so your code no longer works.

In Python, you’ll have nothing that warns against using built-in, standard-library, or even relevant third-party names to identify your own variables. Therefore, you should keep an eye out for this practice. It can be a source of hard-to-debug errors.

In programming, a constant refers to a name associated with a value that never changes during a program’s execution. Unlike other programming languages, Python doesn’t have a dedicated syntax for defining constants. This fact implies that Python doesn’t have constants in the strict sense of the word.

Python only has variables. If you need a constant in Python, then you’ll have to define a variable and guarantee that it won’t change during your code’s execution. To do that, you must avoid using that variable as the left operand in an assignment statement.

To tell other Python programmers that a given variable should be treated as a constant, you must write your variable’s name in capital letters with underscores separating the words. This naming convention has been adopted by the Python community and is a recommendation that you’ll find in the Constants section of PEP 8 .

In the following examples, you define some constants in Python:

The problem with these constants is that they’re actually variables. Nothing prevents you from changing their value during your code’s execution. So, at any time, you can do something like the following:

These assignments modify the value of two of your original constants. Python doesn’t complain about these changes, which can cause issues later in your code. As a Python developer, you must guarantee that named constants in your code remain constant.

The only way to do that is never to use named constants in an assignment statement other than the constant definition.

You’ve learned a lot about Python’s assignment operators and how to use them for writing assignment statements . With this type of statement, you can create, initialize, and update variables according to your needs. Now you have the required skills to fully manage the creation and mutation of variables in your Python code.

In this tutorial, you’ve learned how to:

• Write assignment statements using Python’s assignment operators
• Work with augmented assignments in Python
• Explore assignment variants, like assignment expression and managed attributes
• Identify illegal and dangerous assignments in Python

Learning about the Python assignment operator and how to use it in assignment statements is a fundamental skill in Python. It empowers you to write reliable and effective Python code.

🐍 Python Tricks 💌

Get a short & sweet Python Trick delivered to your inbox every couple of days. No spam ever. Unsubscribe any time. Curated by the Real Python team.

About Leodanis Pozo Ramos

Leodanis is an industrial engineer who loves Python and software development. He's a self-taught Python developer with 6+ years of experience. He's an avid technical writer with a growing number of articles published on Real Python and other sites.

Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

Master Real-World Python Skills With Unlimited Access to Real Python

Join us and get access to thousands of tutorials, hands-on video courses, and a community of expert Pythonistas:

Join us and get access to thousands of tutorials, hands-on video courses, and a community of expert Pythonistas:

What Do You Think?

What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment below and let us know.

Commenting Tips: The most useful comments are those written with the goal of learning from or helping out other students. Get tips for asking good questions and get answers to common questions in our support portal . Looking for a real-time conversation? Visit the Real Python Community Chat or join the next “Office Hours” Live Q&A Session . Happy Pythoning!

Keep Learning

Related Topics: intermediate best-practices python

Keep reading Real Python by creating a free account or signing in:

Already have an account? Sign-In

Almost there! Complete this form and click the button below to gain instant access:

Python's Assignment Operator: Write Robust Assignments (Source Code)

🔒 No spam. We take your privacy seriously.

Python Operators: Arithmetic, Assignment, Comparison, Logical, Identity, Membership, Bitwise

Operators are special symbols that perform some operation on operands and returns the result. For example, 5 + 6 is an expression where + is an operator that performs arithmetic add operation on numeric left operand 5 and the right side operand 6 and returns a sum of two operands as a result.

Python includes the operator module that includes underlying methods for each operator. For example, the + operator calls the operator.add(a,b) method.

Above, expression 5 + 6 is equivalent to the expression operator.add(5, 6) and operator.__add__(5, 6) . Many function names are those used for special methods, without the double underscores (dunder methods). For backward compatibility, many of these have functions with the double underscores kept.

Python includes the following categories of operators:

Arithmetic Operators

Assignment operators, comparison operators, logical operators, identity operators, membership test operators, bitwise operators.

Arithmetic operators perform the common mathematical operation on the numeric operands.

The arithmetic operators return the type of result depends on the type of operands, as below.

• If either operand is a complex number, the result is converted to complex;
• If either operand is a floating point number, the result is converted to floating point;
• If both operands are integers, then the result is an integer and no conversion is needed.

The following table lists all the arithmetic operators in Python:

The assignment operators are used to assign values to variables. The following table lists all the arithmetic operators in Python:

The comparison operators compare two operands and return a boolean either True or False. The following table lists comparison operators in Python.

The logical operators are used to combine two boolean expressions. The logical operations are generally applicable to all objects, and support truth tests, identity tests, and boolean operations.

The identity operators check whether the two objects have the same id value e.i. both the objects point to the same memory location.

The membership test operators in and not in test whether the sequence has a given item or not. For the string and bytes types, x in y is True if and only if x is a substring of y .

Bitwise operators perform operations on binary operands.

• Compare strings in Python
• Convert file data to list
• Convert User Input to a Number
• Convert String to Datetime in Python
• How to call external commands in Python?
• How to count the occurrences of a list item?
• How to flatten list in Python?
• How to merge dictionaries in Python?
• How to pass value by reference in Python?
• Remove duplicate items from list in Python
• More Python articles

We are a team of passionate developers, educators, and technology enthusiasts who, with their combined expertise and experience, create in -depth, comprehensive, and easy to understand tutorials.We focus on a blend of theoretical explanations and practical examples to encourages hands - on learning. Visit About Us page for more information.

• Python Questions & Answers
• Python Skill Test
• Python Latest Articles

• C++ Data Types
• C++ Input/Output
• C++ Pointers
• C++ Interview Questions
• C++ Programs
• C++ Cheatsheet
• C++ Projects
• C++ Exception Handling
• C++ Memory Management

Assignment Operators In C++

• Move Assignment Operator in C++ 11
• JavaScript Assignment Operators
• Assignment Operators in Programming
• Is assignment operator inherited?
• Solidity - Assignment Operators
• Augmented Assignment Operators in Python
• bitset operator[] in C++ STL
• C++ Assignment Operator Overloading
• Self assignment check in assignment operator
• Copy Constructor vs Assignment Operator in C++
• Operators in C++
• C++ Arithmetic Operators
• Bitwise Operators in C++
• Casting Operators in C++
• Assignment Operators in C
• Assignment Operators in Python
• Compound assignment operators in Java
• Arithmetic Operators in C
• Operators in C

In C++, the assignment operator forms the backbone of many algorithms and computational processes by performing a simple operation like assigning a value to a variable. It is denoted by equal sign ( = ) and provides one of the most basic operations in any programming language that is used to assign some value to the variables in C++ or in other words, it is used to store some kind of information.

The right-hand side value will be assigned to the variable on the left-hand side. The variable and the value should be of the same data type.

The value can be a literal or another variable of the same data type.

Compound Assignment Operators

In C++, the assignment operator can be combined into a single operator with some other operators to perform a combination of two operations in one single statement. These operators are called Compound Assignment Operators. There are 10 compound assignment operators in C++:

• Addition Assignment Operator ( += )
• Subtraction Assignment Operator ( -= )
• Multiplication Assignment Operator ( *= )
• Division Assignment Operator ( /= )
• Modulus Assignment Operator ( %= )
• Bitwise AND Assignment Operator ( &= )
• Bitwise OR Assignment Operator ( |= )
• Bitwise XOR Assignment Operator ( ^= )
• Left Shift Assignment Operator ( <<= )
• Right Shift Assignment Operator ( >>= )

Lets see each of them in detail.

1. Addition Assignment Operator (+=)

In C++, the addition assignment operator (+=) combines the addition operation with the variable assignment allowing you to increment the value of variable by a specified expression in a concise and efficient way.

This above expression is equivalent to the expression:

2. Subtraction Assignment Operator (-=)

The subtraction assignment operator (-=) in C++ enables you to update the value of the variable by subtracting another value from it. This operator is especially useful when you need to perform subtraction and store the result back in the same variable.

3. Multiplication Assignment Operator (*=)

In C++, the multiplication assignment operator (*=) is used to update the value of the variable by multiplying it with another value.

4. Division Assignment Operator (/=)

The division assignment operator divides the variable on the left by the value on the right and assigns the result to the variable on the left.

5. Modulus Assignment Operator (%=)

The modulus assignment operator calculates the remainder when the variable on the left is divided by the value or variable on the right and assigns the result to the variable on the left.

6. Bitwise AND Assignment Operator (&=)

This operator performs a bitwise AND between the variable on the left and the value on the right and assigns the result to the variable on the left.

7. Bitwise OR Assignment Operator (|=)

The bitwise OR assignment operator performs a bitwise OR between the variable on the left and the value or variable on the right and assigns the result to the variable on the left.

8. Bitwise XOR Assignment Operator (^=)

The bitwise XOR assignment operator performs a bitwise XOR between the variable on the left and the value or variable on the right and assigns the result to the variable on the left.

9. Left Shift Assignment Operator (<<=)

The left shift assignment operator shifts the bits of the variable on the left to left by the number of positions specified on the right and assigns the result to the variable on the left.

10. Right Shift Assignment Operator (>>=)

The right shift assignment operator shifts the bits of the variable on the left to the right by a number of positions specified on the right and assigns the result to the variable on the left.

Also, it is important to note that all of the above operators can be overloaded for custom operations with user-defined data types to perform the operations we want.

Please Login to comment...

Similar reads.

• Geeks Premier League 2023
• Geeks Premier League

Improve your Coding Skills with Practice

What kind of Experience do you want to share?

PrepBytes Blog

ONE-STOP RESOURCE FOR EVERYTHING RELATED TO CODING

Sign in to your account

Forgot your password?

Login via OTP

We will send you an one time password on your mobile number

An OTP has been sent to your mobile number please verify it below

Register with PrepBytes

Assignment operator in python.

Last Updated on June 8, 2023 by Prepbytes

To fully comprehend the assignment operators in Python, it is important to have a basic understanding of what operators are. Operators are utilized to carry out a variety of operations, including mathematical, bitwise, and logical operations, among others, by connecting operands. Operands are the values that are acted upon by operators. In Python, the assignment operator is used to assign a value to a variable. The assignment operator is represented by the equals sign (=), and it is the most commonly used operator in Python. In this article, we will explore the assignment operator in Python, how it works, and its different types.

What is an Assignment Operator in Python?

The assignment operator in Python is used to assign a value to a variable. The assignment operator is represented by the equals sign (=), and it is used to assign a value to a variable. When an assignment operator is used, the value on the right-hand side is assigned to the variable on the left-hand side. This is a fundamental operation in programming, as it allows developers to store data in variables that can be used throughout their code.

For example, consider the following line of code:

Explanation: In this case, the value 10 is assigned to the variable a using the assignment operator. The variable a now holds the value 10, and this value can be used in other parts of the code. This simple example illustrates the basic usage and importance of assignment operators in Python programming.

Types of Assignment Operator in Python

There are several types of assignment operator in Python that are used to perform different operations. Let’s explore each type of assignment operator in Python in detail with the help of some code examples.

1. Simple Assignment Operator (=)

The simple assignment operator is the most commonly used operator in Python. It is used to assign a value to a variable. The syntax for the simple assignment operator is:

Here, the value on the right-hand side of the equals sign is assigned to the variable on the left-hand side. For example

Explanation: In this case, the value 25 is assigned to the variable a using the simple assignment operator. The variable a now holds the value 25.

2. Addition Assignment Operator (+=)

The addition assignment operator is used to add a value to a variable and store the result in the same variable. The syntax for the addition assignment operator is:

Here, the value on the right-hand side is added to the variable on the left-hand side, and the result is stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is incremented by 5 using the addition assignment operator. The result, 15, is then printed to the console.

3. Subtraction Assignment Operator (-=)

The subtraction assignment operator is used to subtract a value from a variable and store the result in the same variable. The syntax for the subtraction assignment operator is

Here, the value on the right-hand side is subtracted from the variable on the left-hand side, and the result is stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is decremented by 5 using the subtraction assignment operator. The result, 5, is then printed to the console.

4. Multiplication Assignment Operator (*=)

The multiplication assignment operator is used to multiply a variable by a value and store the result in the same variable. The syntax for the multiplication assignment operator is:

Here, the value on the right-hand side is multiplied by the variable on the left-hand side, and the result is stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is multiplied by 5 using the multiplication assignment operator. The result, 50, is then printed to the console.

5. Division Assignment Operator (/=)

The division assignment operator is used to divide a variable by a value and store the result in the same variable. The syntax for the division assignment operator is:

Here, the variable on the left-hand side is divided by the value on the right-hand side, and the result is stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is divided by 5 using the division assignment operator. The result, 2.0, is then printed to the console.

6. Modulus Assignment Operator (%=)

The modulus assignment operator is used to find the remainder of the division of a variable by a value and store the result in the same variable. The syntax for the modulus assignment operator is

Here, the variable on the left-hand side is divided by the value on the right-hand side, and the remainder is stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is divided by 3 using the modulus assignment operator. The remainder, 1, is then printed to the console.

7. Floor Division Assignment Operator (//=)

The floor division assignment operator is used to divide a variable by a value and round the result down to the nearest integer, and store the result in the same variable. The syntax for the floor division assignment operator is:

Here, the variable on the left-hand side is divided by the value on the right-hand side, and the result is rounded down to the nearest integer. The rounded result is then stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is divided by 3 using the floor division assignment operator. The result, 3, is then printed to the console.

8. Exponentiation Assignment Operator (**=)

The exponentiation assignment operator is used to raise a variable to the power of a value and store the result in the same variable. The syntax for the exponentiation assignment operator is:

Here, the variable on the left-hand side is raised to the power of the value on the right-hand side, and the result is stored back in the variable on the left-hand side. For example

Explanation: In this case, the value of a is raised to the power of 3 using the exponentiation assignment operator. The result, 8, is then printed to the console.

9. Bitwise AND Assignment Operator (&=)

The bitwise AND assignment operator is used to perform a bitwise AND operation on the binary representation of a variable and a value, and store the result in the same variable. The syntax for the bitwise AND assignment operator is:

Here, the variable on the left-hand side is ANDed with the value on the right-hand side using the bitwise AND operator, and the result is stored back in the variable on the left-hand side. For example,

Explanation: In this case, the value of a is ANDed with 3 using the bitwise AND assignment operator. The result, 2, is then printed to the console.

10. Bitwise OR Assignment Operator (|=)

The bitwise OR assignment operator is used to perform a bitwise OR operation on the binary representation of a variable and a value, and store the result in the same variable. The syntax for the bitwise OR assignment operator is:

Here, the variable on the left-hand side is ORed with the value on the right-hand side using the bitwise OR operator, and the result is stored back in the variable on the left-hand side. For example,

Explanation: In this case, the value of a is ORed with 3 using the bitwise OR assignment operator. The result, 7, is then printed to the console.

11. Bitwise XOR Assignment Operator (^=)

The bitwise XOR assignment operator is used to perform a bitwise XOR operation on the binary representation of a variable and a value, and store the result in the same variable. The syntax for the bitwise XOR assignment operator is:

Here, the variable on the left-hand side is XORed with the value on the right-hand side using the bitwise XOR operator, and the result are stored back in the variable on the left-hand side. For example,

Explanation: In this case, the value of a is XORed with 3 using the bitwise XOR assignment operator. The result, 5, is then printed to the console.

12. Bitwise Right Shift Assignment Operator (>>=)

The bitwise right shift assignment operator is used to shift the bits of a variable to the right by a specified number of positions, and store the result in the same variable. The syntax for the bitwise right shift assignment operator is:

Here, the variable on the left-hand side has its bits shifted to the right by the number of positions specified by the value on the right-hand side, and the result is stored back in the variable on the left-hand side. For example,

Explanation: In this case, the value of a is shifted 2 positions to the right using the bitwise right shift assignment operator. The result, 2, is then printed to the console.

13. Bitwise Left Shift Assignment Operator (<<=)

The bitwise left shift assignment operator is used to shift the bits of a variable to the left by a specified number of positions, and store the result in the same variable. The syntax for the bitwise left shift assignment operator is:

Here, the variable on the left-hand side has its bits shifted to the left by the number of positions specified by the value on the right-hand side, and the result is stored back in the variable on the left-hand side. For example,

Conclusion Assignment operator in Python is used to assign values to variables, and it comes in different types. The simple assignment operator (=) assigns a value to a variable. The augmented assignment operators (+=, -=, *=, /=, %=, &=, |=, ^=, >>=, <<=) perform a specified operation and assign the result to the same variable in one step. The modulus assignment operator (%) calculates the remainder of a division operation and assigns the result to the same variable. The bitwise assignment operators (&=, |=, ^=, >>=, <<=) perform bitwise operations and assign the result to the same variable. The bitwise right shift assignment operator (>>=) shifts the bits of a variable to the right by a specified number of positions and stores the result in the same variable. The bitwise left shift assignment operator (<<=) shifts the bits of a variable to the left by a specified number of positions and stores the result in the same variable. These operators are useful in simplifying and shortening code that involves assigning and manipulating values in a single step.

Here are some Frequently Asked Questions on Assignment Operator in Python:

Q1 – Can I use the assignment operator to assign multiple values to multiple variables at once? Ans – Yes, you can use the assignment operator to assign multiple values to multiple variables at once, separated by commas. For example, "x, y, z = 1, 2, 3" would assign the value 1 to x, 2 to y, and 3 to z.

Q2 – Is it possible to chain assignment operators in Python? Ans – Yes, you can chain assignment operators in Python to perform multiple operations in one line of code. For example, "x = y = z = 1" would assign the value 1 to all three variables.

Q3 – How do I perform a conditional assignment in Python? Ans – To perform a conditional assignment in Python, you can use the ternary operator. For example, "x = a (if a > b) else b" would assign the value of a to x if a is greater than b, otherwise it would assign the value of b to x.

Q4 – What happens if I use an undefined variable in an assignment operation in Python? Ans – If you use an undefined variable in an assignment operation in Python, you will get a NameError. Make sure you have defined the variable before trying to assign a value to it.

Q5 – Can I use assignment operators with non-numeric data types in Python? Ans – Yes, you can use assignment operators with non-numeric data types in Python, such as strings or lists. For example, "my_list += [4, 5, 6]" would append the values 4, 5, and 6 to the end of the list named my_list.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Linked List
• Segment Tree
• Backtracking
• Dynamic Programming
• Greedy Algorithm
• Operating System
• Company Placement
• Interview Tips
• General Interview Questions
• Data Structure
• Other Topics
• Computational Geometry
• Game Theory

Related Post

Python list functions & python list methods, python interview questions, namespaces and scope in python, what is the difference between append and extend in python, python program to check for the perfect square, python program to find the sum of first n natural numbers.

Java Tutorial

Control statements, java object class, java inheritance, java polymorphism, java abstraction, java encapsulation, java oops misc.

• Send your Feedback to [email protected]

Help Others, Please Share

Learn Latest Tutorials

Transact-SQL

Reinforcement Learning

R Programming

React Native

Python Design Patterns

Python Pillow

Python Turtle

Preparation

Verbal Ability

Interview Questions

Company Questions

Trending Technologies

Artificial Intelligence

Cloud Computing

Data Science

Machine Learning

B.Tech / MCA

Data Structures

Operating System

Computer Network

Compiler Design

Computer Organization

Discrete Mathematics

Ethical Hacking

Computer Graphics

Software Engineering

Web Technology

Cyber Security

C Programming

Control System

Data Mining

Data Warehouse

Assignment Operators in Python

Table of Contents

Assignment Operators will work on values and variables. They are the special symbols that hold arithmetic, logical, and bitwise computations. The value which the operator operates is referred to as the Operand.

Read this article about Assignment Operators in Python

What are Assignment Operators?

The assignment operator will function to provide value to variables. The table below is about the different types of Assignment operator

Here we have listed each of the Assignment operators

1. What is Assign Operator?

This assign operator will provide the value of the right side of the expression to the left operand.

2. What is Add and Assign

This Add and Assign operator will function to add the right side operand with the left side operator, and provide the result to the left operand.

3. What is Subtract and assign ?

This subtract and assign operator works to subtract the right operand from the left operand and give the result to the left operand.

4. What is Multiply and assign ?

This Multiply and assign will function to multiply the right operand with the left operand and will provide the result in the left operand.

5. What is Divide and assign Operator?

This functions to divide the left operand and provides results at the left operand.

6. What is Modulus and Assign Operator?

This operator functions using the modulus with the left and the right operand and provides results at the left operand.

7. What is Divide ( floor)and Assign Operator?

This operator will divide the left operand with the right operand, and provide the result at the left operand.

8. What is Exponent and Assign Operator?

This operator will function to evaluate the exponent and value with the operands and, provide output in the left operand.

9.What is Bitwise and Assign Operator?

This operator will function Bitwise AND on both the operand and provide the result on the left operand.

10. What is Bitwise OR and Assign Operator?

This operand will function Bitwise OR on the operand, and can provide result at the left operand.

11. What is Bitwise XOR and Assign Operator?

This operator will function for Bitwise XOR on the operands, and provide result at the left operand.

12. What is Bitwise Right Shift and Assign Operator?

This operator will function by providing the Bitwise shift on the operands and giving the result at the left operand.

13. What is Bitwise Left shift and Assign Operator?

This operator will function Bitwise left shift by providing the Bitwise left shift on the operands and giving the result on the left operand.

To conclude, different types of assignment operators are discussed in this. Beginners can improve their knowledge and understand how to apply the assignment operators through reading this.

Assignment Operators in Python- FAQs

Q1. what is an assignment statement in python.

Ans. It will calculate the expression list and can provide a single resulting object to each target list from left to right

Q2. What is the compound operator in Python?

Ans. The compound operator will do the operation of a binary operator and will save the result of the operation at the left operand.

Q3. What are the two types of assignment statements

Ans. Simple Assignment Statements and Reference Assignment Statements are the two types of assignment statements.

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together

Python Logical Operators

Python Bitwise Operator

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Reach Out to Us for Any Query

SkillVertex is an edtech organization that aims to provide upskilling and training to students as well as working professionals by delivering a diverse range of programs in accordance with their needs and future aspirations.

© 2024 Skill Vertex

• All Courses
• Free Courses
• Machine Learning with Python
• Programming
• Python for Educators
• Unreal Engine
• Best Game Engines – Which Should You Use?
• Unity vs Unreal
• Unity vs Godot
• Unreal vs Godot
• GameMaker vs Unity
• Construct vs GameMaker
• Best Game Development Courses (Full List)
• Programming Language for Games
• How to Make a Game
• What is Unreal Engine?
• How to Make a VR Game
• How to Make an HTML5 Game
• What is Phaser?
• Roblox Game Making Tutorials
• What is Unity?
• How to Make a Unity Game?
• How to Make a Mobile Game in Unity
• Unity Multiplayer Tutorial
• Unity RPG Tutorial
• Unity Animator Tutorial
• Unity Certification
• Unity Platformer Tutorial
• Procedural Generation
• What is Godot?
• Best Godot Online Courses
• Best Godot Tutorials
• Complete Guide to GDScript
• Godot RPG Tutorial
• Godot Collision Detection
• What is Python Programming?
• How to Learn Python?
• Best Python Courses – Complete List
• Complete Guide to Python Enums
• Generative AI in Python
• Python Turtle Tutorial
• Why Learn Coding?
• What is Programming?
• How to Learn Coding for Free
• The Best Way to Learn to Code – 10 Steps
• Beginners Coding Success Guide
• Code Editor Comparison
• How to Code a Game
• Complete Guide to C#
• Create Free Account

What Are Assignment Operators – Complete Guide

Understanding the role of assignment operators in programming is like learning how to pass the baton in a relay race; it’s about transferring values into variables effectively and accurately. These operators are the bread and butter of programming languages, allowing you to store and update data as your code runs. Whether you’re new to coding or brushing up on your programming skills, grasping assignment operators is a must for writing efficient and effective code. Dive into this tutorial to unlock the full potential of manipulating data in your programs!

Table of contents

What Are Assignment Operators?

Assignment operators are a staple in the world of programming, serving as the means to assign values to variables. They are the equals signs and plus-equals equations that usher data into placeholders, ready to be manipulated and presented as needed.

What Are They Used For?

These operators enable us to store values, update information on the fly, and maintain state within our programs. Without them, our code would be static and unresponsive – they are the dynamic force behind variable assignment and updating.

Why Should I Learn About Assignment Operators?

Learning about assignment operators is foundational to programming. They allow us to:

– Initiate and change variable values. – Create interactive and responsive programs. – Write more concise and readable code.

Basic Assignment Operator

The most common assignment operator is the simple equals sign (=), which assigns the value on its right to the variable on its left. Here’s a straightforward example:

This operator is used to initialize variables, and it can also be used to reassign new values to existing variables:

Adding and Assigning

Often, you’ll want to increase a variable’s value by a certain amount. This is where the addition assignment operator (+=) comes in:

It saves you from having to write the variable name twice, streamlining your code and making it easier to read.

Subtracting and Assigning

Just like with addition, you might want to decrease a variable’s value. The subtraction assignment operator (-=) reduces a variable by the number on its right:

Multiplication and Assignment

When you need to multiply a variable by a value and reassign the product back to the variable, you can use the multiplication assignment operator (*=):

This operator helps maintain clean code instead of using longer statements that can get cluttered quickly if you’re performing many calculations.

Division and Assignment

The division assignment operator (/=) divides a variable by a number and assigns the result to that variable:

Using this operator can simplify your code significantly, especially in cases where you need to perform successive divisions on the same variable.

Modulus and Assignment

Finally, there’s the modulus assignment operator (%=), which assigns the remainder of the division to the variable:

The modulus operator is particularly useful in algorithms where you need to find out if a number is even or odd or fit a value into a particular range.

Mastering these operators is like getting the keys to the kingdom of efficient and maintainable code. With these examples under your belt, you have taken a big step towards becoming a more proficient programmer. In the next section, we’ll explore some other assignment operators that are used less frequently but are just as important.

After mastering the basics, let’s dive into some more assignment operators that can further enhance your coding prowess. These may not be used as frequently, but they’re important for writing concise code and can be a real-time saver in many situations.

Exponentiation and Assignment : When you want to raise a variable to the power of a certain number, you could use the Math.pow method or simply use the exponentiation assignment operator (**=) to keep your code neater:

It’s a handy operator for mathematical calculations, especially when you’re dealing with exponential growth or compound interest calculations.

Bitwise Operators and Assignment : Bitwise assignment operators like <>=, and &= are a bit more niche, used for manipulating bits within binary representations of numbers:

These operators are largely used in low-level programming, graphics, cryptography, and where performance optimization is critical.

Logical AND (&&=) and OR (||=) Assignment : In the realm of JavaScript, ES2021 introduced logical assignment operators that combine logical operations with assignment. Here are some examples:

The ||= operator assigns the value on its right side to the variable if the variable is currently null, undefined, or false. The &&= operator does the opposite, updating the variable if it’s already truthy.

Nullish Coalescing Assignment (??=) Operator : Introduced along with the logical assignment operators, the nullish coalescing assignment operator (??=) only assigns a value to a variable if that variable is currently null or undefined—not merely falsy like the || operator:

This operator is particularly useful when you want to ensure that variables have default values without overriding falsy but valid values like 0 or an empty string.

Understanding and utilizing these operators can lead to cleaner, more efficient, and more readable code, a critical factor in program maintenance and development. Our journey through assignment operators has shown us that, while some might seem complex at first glance, they’re all designed to make a programmer’s life easier. Remember that as with all programming concepts, practice is key to getting comfortable with these tools, so feel free to use this guide as a starting block for your exploration.

Understanding the behavior of assignment operators in edge cases can deepen your knowledge and help you to write better, more predictable code. Let’s examine some more practical examples, exploring how you can leverage these operators in less straightforward situations.

Consider how the += operator works with strings. It’s commonly used to concatenate strings effectively:

Now, let’s mix data types. When you add a number to a string, JavaScript converts the number to a string before concatenation:

Moving on to bitwise operators with more practical examples, let’s manipulate RGBA color values, which are often represented by 32-bit integers:

Bitwise operators are not limited to numbers. You can use them to toggle booleans or conditionally reset values:

Logical operators can help you write more concise conditional assignments. Consider setting default function parameters:

Even more nuanced is the nullish coalescing operator in conjunction with the Optional Chaining operator (?.) . This union elegantly handles cases where nested structures might lead to runtime errors:

Lastly, let’s look at a complex but common use case with destructuring and the spread operator to update state in a JavaScript object:

These examples reveal how assignment operators can be combined with other JavaScript features to produce sophisticated and efficient data manipulation. They exemplify the power packed into these seemingly simple operators and how, with creativity and understanding, they can be wielded to solve complex programming challenges. Whether you’re manipulating strings, toggling booleans with bitwise operations, handling default values, or safely updating nested objects, assignment operators simplify your workflow and clarify your intent to others reading your code.

Where to Go Next with Your Coding Journey

Embarking on the journey of coding can open a world of possibilities. If you’ve found a passion for programming and want to expand your skills beyond assignment operators, Zenva Academy is here to guide you every step of the way.

Our Python Mini-Degree program offers a deep dive into the versatile world of Python, covering a wide range of topics from basic programming concepts to more advanced applications. Python’s syntax is clear and intuitive, making it an excellent language for both beginners and seasoned developers. With it being in high demand across various fields, particularly data science, this Mini-Degree is the perfect opportunity to bolster your career prospects.

For those who wish to explore programming more broadly, we invite you to check out our comprehensive Programming courses . With over 250 courses to choose from, you’ll find content that takes you from beginner fundamentals to more complex topics, all designed to get you industry-ready. Join our community of over a million learners and developers and start transforming your future today!

In the digital tapestry of code, assignment operators are the threads that connect values to variables, creating the intricate patterns that bring applications to life. With the knowledge of these powerful tools, you’re now better equipped to write code that not only functions well but is efficient and easy to understand. As you continue to build and refine your programming skills, remember that each new concept you master is a stepping stone to more advanced and exciting challenges.

At Zenva, we’re passionate about empowering you to reach your full potential. Our Python Mini-Degree and extensive programming courses are designed specifically for learners like you, who are eager to grow their coding abilities and make their mark in the tech world. Join us, and let’s code the future together!

Did you come across any errors in this tutorial? Please let us know by completing this form and we’ll look into it!

FINAL DAYS: Unlock coding courses in Unity, Godot, Unreal, Python and more.

Continue Learning

File Download Link

Send me a download link for the files of .

C# Tutorial

C# examples, c# assignment operators, assignment operators.

Assignment operators are used to assign values to variables.

In the example below, we use the assignment operator ( = ) to assign the value 10 to a variable called x :

Try it Yourself »

The addition assignment operator ( += ) adds a value to a variable:

A list of all assignment operators:

COLOR PICKER

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail: [email protected]

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail: [email protected]

Top Tutorials

Top references, top examples, get certified.

01 Career Opportunities

• Top 50 Mostly Asked C Interview Questions and Answers

02 Beginner

• If Statement in C
• Understanding do...while loop in C
• Understanding for loop in C
• if else if statements in C Programming
• If...else statement in C Programming
• Understanding realloc() function in C
• Understanding While loop in C
• Why C is called middle level language?
• Beginner's Guide to C Programming
• First C program and Its Syntax
• Escape Sequences and Comments in C
• Keywords in C: List of Keywords
• Identifiers in C: Types of Identifiers
• Data Types in C Programming - A Beginner Guide with examples
• Variables in C Programming - Types of Variables in C ( With Examples )
• 10 Reasons Why You Should Learn C
• Boolean and Static in C Programming With Examples ( Full Guide )
• Operators in C: Types of Operators
• Bitwise Operators in C: AND, OR, XOR, Shift & Complement
• Expressions in C Programming - Types of Expressions in C ( With Examples )
• Conditional Statements in C: if, if..else, Nested if
• Switch Statement in C: Syntax and Examples
• Ternary Operator in C: Ternary Operator vs. if...else Statement
• Loop in C with Examples: For, While, Do..While Loops
• Nested Loops in C - Types of Expressions in C ( With Examples )
• Infinite Loops in C: Types of Infinite Loops
• Jump Statements in C: break, continue, goto, return
• Continue Statement in C: What is Break & Continue Statement in C with Example

03 Intermediate

• Constants in C language
• Getting Started with Data Structures in C
• Functions in C Programming
• Call by Value and Call by Reference in C
• Recursion in C: Types, its Working and Examples
• Storage Classes in C: Auto, Extern, Static, Register
• Arrays in C Programming: Operations on Arrays
• Strings in C with Examples: String Functions

04 Advanced

• How to Dynamically Allocate Memory using calloc() in C?
• How to Dynamically Allocate Memory using malloc() in C?
• Pointers in C: Types of Pointers
• Multidimensional Arrays in C: 2D and 3D Arrays
• Dynamic Memory Allocation in C: Malloc(), Calloc(), Realloc(), Free()

05 Training Programs

• Java Programming Course
• C++ Programming Course
• C Programming Course
• Data Structures and Algorithms Training
• C Programming Assignment ..

C Programming Assignment Operators

C Programming For Beginners Free Course

What is an assignment operator in c.

Assignment Operators in C are used to assign values to the variables. They come under the category of binary operators as they require two operands to operate upon. The left side operand is called a variable and the right side operand is the value. The value on the right side of the "=" is assigned to the variable on the left side of "=". The value on the right side must be of the same data type as the variable on the left side. Hence, the associativity is from right to left.

In this C tutorial , we'll understand the types of C programming assignment operators with examples. To delve deeper you can enroll in our C Programming Course .

Before going in-depth about assignment operators you must know about operators in C. If you haven't visited the Operators in C tutorial, refer to Operators in C: Types of Operators .

Types of Assignment Operators in C

There are two types of assignment operators in C:

+=	addition assignment	It adds the right operand to the left operand and assigns the result to the left operand.
-=	subtraction assignment	It subtracts the right operand from the left operand and assigns the result to the left operand.
*=	multiplication assignment	It multiplies the right operand with the left operand and assigns the result to the left operand
/=	division assignment	It divides the left operand with the right operand and assigns the result to the left operand.
%=	modulo assignment	It takes modulus using two operands and assigns the result to the left operand.

Example of Augmented Arithmetic and Assignment Operators

There can be five combinations of bitwise operators with the assignment operator, "=". Let's look at them one by one.

&=	bitwise AND assignment	It performs the bitwise AND operation on the variable with the value on the right
|=	bitwise OR assignment	It performs the bitwise OR operation on the variable with the value on the right
^=	bitwise XOR assignment	It performs the bitwise XOR operation on the variable with the value on the right
<<=	bitwise left shift assignment	Shifts the bits of the variable to the left by the value on the right
>>=	bitwise right shift assignment	Shifts the bits of the variable to the right by the value on the right

Example of Augmented Bitwise and Assignment Operators

Practice problems on assignment operators in c, 1. what will the value of "x" be after the execution of the following code.

The correct answer is 52. x starts at 50, increases by 5 to 55, then decreases by 3 to 52.

2. After executing the following code, what is the value of the number variable?

The correct answer is 144. After right-shifting 73 (binary 1001001) by one and then left-shifting the result by two, the value becomes 144 (binary 10010000).

Benefits of Using Assignment Operators

• Simplifies Code: For example, x += 1 is shorter and clearer than x = x + 1.
• Reduces Errors: They break complex expressions into simpler, more manageable parts thus reducing errors.
• Improves Readability: They make the code easier to read and understand by succinctly expressing common operations.
• Enhances Performance: They often operate in place, potentially reducing the need for additional memory or temporary variables.

Best Practices and Tips for Using the Assignment Operator

While performing arithmetic operations with the same variable, use compound assignment operators

• Initialize Variables When Declaring int count = 0 ; // Initialization
• Avoid Complex Expressions in Assignments a = (b + c) * (d - e); // Consider breaking it down: int temp = b + c; a = temp * (d - e);
• Avoid Multiple Assignments in a Single Statement // Instead of this a = b = c = 0 ; // Do this a = 0 ; b = 0 ; c = 0 ;
• Consistent Formatting int result = 0 ; result += 10 ;

When mixing assignments with other operations, use parentheses to ensure the correct order of evaluation.

Live Classes Schedule

	Angular Certification Course	Jun 22	SAT, SUN	Filling Fast
	ASP.NET Core (Project)	Jun 23	SAT, SUN	Filling Fast
	Azure Developer Certification Training	Jun 23	SAT, SUN	Filling Fast
	.NET Microservices Certification Training	Jun 23	SAT, SUN	Filling Fast
	.NET Solution Architect Certification Training	Jun 23	SAT, SUN	Filling Fast
	Full Stack .Net Developer	Jun 30	SAT, SUN	Filling Fast
	ASP.NET Core Certification Training	Jun 30	SAT, SUN	Filling Fast
	React JS Certification Training | Best React Training Course	Jun 30	SAT, SUN	Filling Fast
	Advanced Full-Stack .NET Developer Certification Training	Jun 30	SAT, SUN	Filling Fast
	Generative AI For Software Developers	Jul 14	SAT, SUN	Filling Fast

Can't find convenient schedule? Let us know

About Author

• 22+ Video Courses
• 800+ Hands-On Labs
• 400+ Quick Notes
• 55+ Skill Tests
• 45+ Interview Q&A Courses
• 10+ Real-world Projects
• Career Coaching Sessions
• Email Support

We use cookies to make interactions with our websites and services easy and meaningful. Please read our Privacy Policy for more details.

• school Campus Bookshelves
• menu_book Bookshelves
• perm_media Learning Objects
• login Login
• how_to_reg Request Instructor Account
• hub Instructor Commons

Margin Size

• Download Page (PDF)
• Download Full Book (PDF)
• Periodic Table
• Physics Constants
• Scientific Calculator
• Reference & Cite
• Tools expand_more
• Readability

selected template will load here

This action is not available.

4.5: Assignment Operator

• Last updated
• Save as PDF
• Page ID 10258

• Kenneth Leroy Busbee
• Houston Community College via OpenStax CNX

\( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

\( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

\( \newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\)

( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\)

\( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

\( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\)

\( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

\( \newcommand{\Span}{\mathrm{span}}\)

\( \newcommand{\id}{\mathrm{id}}\)

\( \newcommand{\kernel}{\mathrm{null}\,}\)

\( \newcommand{\range}{\mathrm{range}\,}\)

\( \newcommand{\RealPart}{\mathrm{Re}}\)

\( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

\( \newcommand{\Argument}{\mathrm{Arg}}\)

\( \newcommand{\norm}[1]{\| #1 \|}\)

\( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\AA}{\unicode[.8,0]{x212B}}\)

\( \newcommand{\vectorA}[1]{\vec{#1}}      % arrow\)

\( \newcommand{\vectorAt}[1]{\vec{\text{#1}}}      % arrow\)

\( \newcommand{\vectorB}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

\( \newcommand{\vectorC}[1]{\textbf{#1}} \)

\( \newcommand{\vectorD}[1]{\overrightarrow{#1}} \)

\( \newcommand{\vectorDt}[1]{\overrightarrow{\text{#1}}} \)

\( \newcommand{\vectE}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{\mathbf {#1}}}} \)

The assignment operator allows us to change the value of a modifiable data object (for beginning programmers this typically means a variable). It is associated with the concept of moving a value into the storage location (again usually a variable). Within C++ programming language the symbol used is the equal symbol. But bite your tongue, when you see the = symbol you need to start thinking: assignment. The assignment operator has two operands. The one to the left of the operator is usually an identifier name for a variable. The one to the right of the operator is a value.

The value 21 is moved to the memory location for the variable named: age. Another way to say it: age is assigned the value 21.

The item to the right of the assignment operator is an expression. The expression will be evaluated and the answer is 14. The value 14 would assigned to the variable named: total_cousins.

The expression to the right of the assignment operator contains some identifier names. The program would fetch the values stored in those variables; add them together and get a value of 44; then assign the 44 to the total_students variable.

Definitions

Learn C++ practically and Get Certified .

Popular Tutorials

Popular examples, reference materials, learn c++ interactively, introduction to c++.

• Getting Started With C++
• Your First C++ Program
• C++ Comments

C++ Fundamentals

• C++ Keywords and Identifiers
• C++ Variables, Literals and Constants
• C++ Data Types
• C++ Type Modifiers
• C++ Constants
• C++ Basic Input/Output
• C++ Operators

Flow Control

C++ Relational and Logical Operators

• C++ if, if...else and Nested if...else
• C++ for Loop
• C++ while and do...while Loop
• C++ break Statement
• C++ continue Statement
• C++ goto Statement
• C++ switch..case Statement

C++ Ternary Operator

• C++ Functions
• C++ Programming Default Arguments
• C++ Function Overloading
• C++ Inline Functions
• C++ Recursion

Arrays and Strings

• C++ Array to Function
• C++ Multidimensional Arrays
• C++ String Class

Pointers and References

• C++ Pointers
• C++ Pointers and Arrays
• C++ References: Using Pointers
• C++ Call by Reference: Using pointers
• C++ Memory Management: new and delete

Structures and Enumerations

• C++ Structures
• C++ Structure and Function
• C++ Pointers to Structure
• C++ Enumeration

Object Oriented Programming

• C++ Classes and Objects
• C++ Constructors
• C++ Constructor Overloading
• C++ Destructors
• C++ Access Modifiers
• C++ Encapsulation
• C++ friend Function and friend Classes

Inheritance & Polymorphism

• C++ Inheritance
• C++ Public, Protected and Private Inheritance
• C++ Multiple, Multilevel and Hierarchical Inheritance
• C++ Function Overriding
• C++ Virtual Functions
• C++ Abstract Class and Pure Virtual Function

STL - Vector, Queue & Stack

• C++ Standard Template Library
• C++ STL Containers
• C++ std::array
• C++ Vectors
• C++ Forward List
• C++ Priority Queue

STL - Map & Set

• C++ Multimap
• C++ Multiset
• C++ Unordered Map
• C++ Unordered Set
• C++ Unordered Multiset
• C++ Unordered Multimap

STL - Iterators & Algorithms

• C++ Iterators
• C++ Algorithm
• C++ Functor

Additional Topics

• C++ Exceptions Handling
• C++ File Handling
• C++ Ranged for Loop
• C++ Nested Loop
• C++ Function Template
• C++ Class Templates
• C++ Type Conversion
• C++ Type Conversion Operators
• C++ Operator Overloading

Advanced Topics

• C++ Namespaces
• C++ Preprocessors and Macros
• C++ Storage Class

C++ Bitwise Operators

• C++ Buffers
• C++ istream
• C++ ostream

C++ Tutorials

C++ Operator Precedence and Associativity

• Subtract Complex Number Using Operator Overloading
• Increment ++ and Decrement -- Operator Overloading in C++ Programming

Operators are symbols that perform operations on variables and values. For example, + is an operator used for addition, while - is an operator used for subtraction.

Operators in C++ can be classified into 6 types:

• Arithmetic Operators
• Assignment Operators
• Relational Operators
• Logical Operators
• Bitwise Operators
• Other Operators

1. C++ Arithmetic Operators

Arithmetic operators are used to perform arithmetic operations on variables and data. For example,

Here, the + operator is used to add two variables a and b . Similarly there are various other arithmetic operators in C++.

Operator	Operation
	Addition
	Subtraction
	Multiplication
	Division
	Modulo Operation (Remainder after division)

Example 1: Arithmetic Operators

Here, the operators + , - and * compute addition, subtraction, and multiplication respectively as we might have expected.

/ Division Operator

Note the operation (a / b) in our program. The / operator is the division operator.

As we can see from the above example, if an integer is divided by another integer, we will get the quotient. However, if either divisor or dividend is a floating-point number, we will get the result in decimals.

% Modulo Operator

The modulo operator % computes the remainder. When a = 9 is divided by b = 4 , the remainder is 1 .

Note: The % operator can only be used with integers.

• Increment and Decrement Operators

C++ also provides increment and decrement operators: ++ and -- respectively.

• ++ increases the value of the operand by 1
• -- decreases it by 1

For example,

Here, the code ++num; increases the value of num by 1 .

Example 2: Increment and Decrement Operators

In the above program, we have used the ++ and -- operators as prefixes (++a and --b) . However, we can also use these operators as postfix (a++ and b--) .

To learn more, visit increment and decrement operators .

2. C++ Assignment Operators

In C++, assignment operators are used to assign values to variables. For example,

Here, we have assigned a value of 5 to the variable a .

Operator	Example	Equivalent to

Example 3: Assignment Operators

3. c++ relational operators.

A relational operator is used to check the relationship between two operands. For example,

Here, > is a relational operator. It checks if a is greater than b or not.

If the relation is true , it returns 1 whereas if the relation is false , it returns 0 .

Operator	Meaning	Example
	Is Equal To	gives us
	Not Equal To	gives us
	Greater Than	gives us
	Less Than	gives us
	Greater Than or Equal To	give us
	Less Than or Equal To	gives us

Example 4: Relational Operators

Note : Relational operators are used in decision-making and loops.

4. C++ Logical Operators

Logical operators are used to check whether an expression is true or false . If the expression is true , it returns 1 whereas if the expression is false , it returns 0 .

Operator	Example	Meaning
	expression1 expression2	Logical AND. True only if all the operands are true.
	expression1 expression2	Logical OR. True if at least one of the operands is true.
	expression	Logical NOT. True only if the operand is false.

In C++, logical operators are commonly used in decision making. To further understand the logical operators, let's see the following examples,

Example 5: Logical Operators

Explanation of logical operator program

• (3 != 5) && (3 < 5) evaluates to 1 because both operands (3 != 5) and (3 < 5) are 1 (true).
• (3 == 5) && (3 < 5) evaluates to 0 because the operand (3 == 5) is 0 (false).
• (3 == 5) && (3 > 5) evaluates to 0 because both operands (3 == 5) and (3 > 5) are 0 (false).
• (3 != 5) || (3 < 5) evaluates to 1 because both operands (3 != 5) and (3 < 5) are 1 (true).
• (3 != 5) || (3 > 5) evaluates to 1 because the operand (3 != 5) is 1 (true).
• (3 == 5) || (3 > 5) evaluates to 0 because both operands (3 == 5) and (3 > 5) are 0 (false).
• !(5 == 2) evaluates to 1 because the operand (5 == 2) is 0 (false).
• !(5 == 5) evaluates to 0 because the operand (5 == 5) is 1 (true).

5. C++ Bitwise Operators

In C++, bitwise operators are used to perform operations on individual bits. They can only be used alongside char and int data types.

Operator	Description
	Binary AND
	Binary OR
	Binary XOR
	Binary One's Complement
	Binary Shift Left
	Binary Shift Right

To learn more, visit C++ bitwise operators .

6. Other C++ Operators

Here's a list of some other common operators available in C++. We will learn about them in later tutorials.

Operator	Description	Example
	returns the size of data type
	returns value based on the condition
	represents memory address of the operand
	accesses members of struct variables or class objects
	used with pointers to access the class or struct variables
	prints the output value
	gets the input value

• C++ Operators Precedence and Associativity

Table of Contents

Sorry about that.

Related Tutorials

C++ Tutorial

• Stack Overflow Public questions & answers
• Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers
• Talent Build your employer brand
• Advertising Reach developers & technologists worldwide
• Labs The future of collective knowledge sharing
• About the company

Collectives™ on Stack Overflow

Find centralized, trusted content and collaborate around the technologies you use most.

Q&A for work

Connect and share knowledge within a single location that is structured and easy to search.

Get early access and see previews of new features.

Purpose of assignment operator overloading in C++

I'm trying to understand the purpose of overloading some operators in C++. Conceptually, an assignment statement can be easily implemented via:

• Destruction of the old object followed by copy construction of the new object
• Copy construction of the new object, followed by a swap with the old object, followed by destruction of the old object

In fact, often, the copy-and-swap implementation is the implementation of assignment in real code.

Why, then, does C++ allow the programmer to overload the assignment operator, instead of just performing the above?

Was it intended to allow a scenario in which assignment is faster than destruction + construction? If so, when does that happen? And if not, then what use case was it intended to support?

• operator-overloading
• assignment-operator

• Operator in general allow us to get closer to the target domain . –  andre Commented Feb 15, 2013 at 18:14
• double converter::operator=(int value); –  Mooing Duck Commented Feb 15, 2013 at 18:38

6 Answers 6

1) Reference counting

Suppose you have a resource that is ref-counted and it is wrapped in objects.

2) Or you just want to copy the fields without fancy semantics.

In both cases the code runs much faster. In the second case the effect is similar.

3) Also what about types... Use the operator to handle assigning other types to your type.

first, note that "Destruction of the old object followed by copy construction of the new object" is not exception safe.

but re "Copy construction of the new object, followed by a swap with the old object, followed by destruction of the old object", that's the swap idiom for implementing an assignment operator, and it's exception safe if done correctly.

in some cases a custom assignment operator can be faster than the swap idiom. for example, direct arrays of POD type can't really be swapped except by way of lower level assignments. so there for the swap idiom you can expect an overhead proportional to the array size.

however, historically there wasn't much focus on swapping and exception safety.

bjarne wanted exceptions originally (if i recall correctly), but they didn't get into the language until 1989 or thereabouts. so the original c++ way of programming was more focused on assignments. to the degree that a failing constructor signalled its failure by assigning 0 to this … i think , that in those days your question would not have made sense. it was just assignments all over.

typewise, some objects have identity, and others have value. it makes sense to assign to value objects, but for identity objects one typically wants to limit the ways that the object can be modified. while this doesn't require the ability to customize copy assignment (only to make it unavailable), with that ability one doesn't need any other language support.

and i think likewise for any other specific reasons one can think of: probably no such reason really requires the general ability, but the general ability is sufficient to cover it all, so it lowers the overall language complexity.

a good source to get more definitive answer than my hunches, recollections and gut feelings, is bjarne's "the design and evolution of c++" book.

probably the question has a definitive answer there.

• The reference to Bjarne's book is certainly the ultimate answer. But although it didn't occur to me at first either, I suspect that C compatibility played an important role; the compiler provided assignment operator does exactly what C would do when assigning a struct. (Almost: it does member by member copy, where as C would do bitwise copy. But there's no difference between member by member and bitwise copy. And the very earliest versions of C++ did bitwise copy.) –  James Kanze Commented Feb 15, 2013 at 18:12
• Also, the ability to have objects on the RHS that are of different types probably plays a role. –  Mooing Duck Commented Feb 15, 2013 at 18:39

Destruction of the old object, followed by copy construction of the new, will not usually work. And the swap idiom is guaranteed not to work unless the class provides a special swap function— std::swap uses assignment in its unspecialized implementation, and using it directly in the assignment operator will lead to endless recursion.

And of course, the user may want to do something special, e.g. make the assignment operator private, for example.

And finally, what is almost certainly an overruling reason: the default assignment operator has to be compatible with C.

• Definitely plausible, but not wholly convincing (since they could've just made swap a built-in of some sort, with a default implementation). I think I figured out the real reason though, it's more significant -- see my answer below. –  user541686 Commented Feb 15, 2013 at 18:30
• @Mehrdad swap is built-in to the language. The problem is that without some knowledge of the internals of the class, any generic implementation of swap will have to do an assignment. Unless you can special case it based on knowing the actual semantics, you cannot implement it without using assignment. –  James Kanze Commented Feb 15, 2013 at 21:23

Actually, after seeing juanchopanza's answer (which was deleted), I think I ended up figuring it out myself.

Copy-assignment operators allow classes like basic_string to avoid allocating resources unnecessarily when they can re-use them (in this case, memory).

So when you assign to a basic_string , an overloaded copy assignment operator would avoid allocating memory, and would just copy the string data directly to the existing buffer.

If the object had to be destroyed and constructed again, the buffer would have to be reallocated, which would be potentially much more costly for a small string.

(Note that vector could benefit from this too, but only if it knew that the elements' copy constructors would never throw exceptions. Otherwise it would need to maintain its exception safety and actually perform a copy-and-swap.)

It allows you to use assignment of other types as well. You could have a class Person with an assignment operator that assigns an ID.

But besides that, you don't always want to copy all the members as they are.

The default assignment only does a shallow copy. For example, if the class contains pointers, or locks, you dont always want to copy them from the other object. Usually when you have pointers you want to use a deep copy, and maybe create a copy of the object that the pointers are pointed to. And if you have locks, you want them to be specific to the object, and you don't want to copy their state from the other object.

It is actually a common practice to provide your own copy constructor and assignment operator if your class holds pointers as members.

• 1 With regards to your first sentence: having a standard defined copy assignment wouldn't prevent other user defined assignment operators. –  James Kanze Commented Feb 15, 2013 at 18:07

I have used it often as a conversion constructor but with already existing objects. i.e assigning member variable type, etc to an object.

Your Answer

Reminder: Answers generated by artificial intelligence tools are not allowed on Stack Overflow. Learn more

Sign up or log in

Post as a guest.

Required, but never shown

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy .

Not the answer you're looking for? Browse other questions tagged c++ operator-overloading assignment-operator or ask your own question .

• Featured on Meta
• Upcoming sign-up experiments related to tags
• The 2024 Developer Survey Is Live
• The return of Staging Ground to Stack Overflow
• Policy: Generative AI (e.g., ChatGPT) is banned

Hot Network Questions

• Tool Storage Corrosion Risk
• Why is “selling a birthright (πρωτοτόκια)” so bad? -- Hebrews 12:16
• Is it possible that the editor is still looking for other reveiwers while one reviewer has submitted the reviewer report?
• Bound states between neutrinos using Schrödinger's equation?
• Will a nitro aryl resist an halogen exchange using nBuLi?
• Starship IFT-4: whatever happened to the fin tip camera feed?
• How many steps in mille passūs?
• Understanding the Intrinsic Nature of the First Fundamental Form and Curvature
• PostGIS ST_ClusterDBSCAN returns NULL
• Pushouts vs contractible colimits
• What aspects define how present the garlic taste in an aglio e olio pasta becomes?
• How to tie an authorisation token to a device?
• Could an Alien decipher human languages using only comms traffic?
• How can I have two plots progress on different rates of time?
• Chain slipping in 8th gear only
• Transactional Replication - how to set up alerts/notification to send alerts before transaction log space is full on publisher?
• Is this crumbling concrete step salvageable?
• What was Jessica and the Bene Gesserit's game plan if Paul failed the test?
• Split Flaps and lift?
• Where is the documentation for the new apt sources format used in 22.04?
• Short story in which the main character buys a robot psychotherapist to get rid of the obsessive desire to kill
• Protocol Used by the \oldstylenums Command to Display Digits
• How to temporarly disable a primary IP without losing other IPs on the same interface
• Is a possessive apostrophe appropriate in the verb phrase 'to save someone something'?