Sign In
Sign In

How to Make Games in Python with Pygame

How to Make Games in Python with Pygame
Hostman Team
Technical writer
Python
23.10.2024
Reading time: 10 min

This tutorial will help you create a simple game template in Python where you move a character to avoid obstacles. You'll use Pygame, a set of Python modules designed for video game development. Pygame builds on top of the powerful SDL library. The latest version of Pygame uses Pygame SDL2.

Installing the Library

Pygame includes several modules with functions for drawing graphics, playing sounds, handling mouse input, and more—all essential for building your first game with Python 3.

You need to install the library in your development environment to get started. Installation is done using pip:

python -m pip install -U pygame --user

To verify the library is working, you can run a built-in example game:

python -m pygame.examples.aliens

This will launch a game where you shoot down alien UFOs.

There are other installation methods for different operating systems, including compiling the library from source. Check the Pygame documentation for details.

Game Loop

The game loop is where all the game events happen, updates are made, and the game is displayed on the screen. Once the initial setup and variable initialization are complete, the game loop begins, and the program continues to run repeatedly until a QUIT event occurs.

Here’s an example of a game loop that we'll use in our Pygame program:

while True:
    # Code
    pygame.display.update()

Changes in the game only take effect after pygame.display.update() is called. Since games involve continuous updates, this function is placed inside the game loop and is executed repeatedly.

Exiting the Game Loop

Every game loop must have a way to exit or trigger the end of the game—for example, when the user clicks a quit button.

while True:
    pygame.display.update()
    for event in pygame.event.get():
        if event.type == QUIT:
            pygame.quit()
            sys.exit()

Here, pygame.quit() closes the Pygame window, and sys.exit() ends the Python script. Using only sys.exit() can sometimes cause the IDE to freeze, so it's important to call pygame.quit() first.

Game Events

An event occurs when the user performs a certain action, like clicking the mouse or pressing a key. Pygame tracks every event that happens.

You can find out which events have occurred by calling the function pygame.event.get(). It returns a list of pygame.event.Event objects, which we'll call event objects for simplicity.

One of the many attributes (or properties) that event objects have is type. The type attribute tells you what event the object represents.

In the example above, we used event.type == QUIT. This checks if the game should be closed. As long as the user does not trigger a QUIT event, the game will keep running in an infinite loop.

Game Window

For the game, we need to create a fixed-size window where all the events will occur. The window's width and height in pixels are passed to the pygame.set_mode() function as a tuple:

DISPLAYSURF = pygame.display.set_mode((300, 300))

A pixel is the smallest possible area on the screen. There is no such thing as half a pixel or a quarter of a pixel, so both the width and height must be integers.

Frame Rate (FPS)

If you don’t set a frame rate limit, the computer will run the game loop as many times as it can in a second. To control the frame rate, you can use the tick(fps) method, where fps is an integer representing the frame rate. The tick(fps) method belongs to the pygame.time.Clock class and must be used with an object of that class.

FPS = pygame.time.Clock()
FPS.tick(60)

This will cap the game’s frame rate at 60 frames per second (FPS). The ideal FPS may vary depending on the game, but generally, you should aim for a value between 30 and 60. Keep in mind that if your game is complex or resource-heavy, the computer may struggle to run it at higher frame rates.

Colors

Pygame uses the RGB color system (Red, Green, Blue), where each color component can have a value between 0 and 255, providing 256 possible values for each color. These three colors combine to create all the colors you see on screens.

To use colors in Pygame, you create Color objects using RGB values in the form of a tuple:

BLACK = pygame.Color(0, 0, 0)
WHITE = pygame.Color(255, 255, 255)
GREY = pygame.Color(128, 128, 128)
RED = pygame.Color(255, 0, 0)

One thing to note about working with colors is that if you draw a shape and assign it a color (e.g., green), only the outline will be green by default. To fill the shape with color, you need to use the fill method, which makes the entire shape that color.

Creating the Game

Now it’s time for the fun part—developing your first Python game. Below is the complete code for the project that you’ll have by the end of this tutorial.

# Import libraries
import pygame, sys
from pygame.locals import *
import random

# Initialize Pygame
pygame.init()

# Set frame rate
FPS = 60
FramePerSec = pygame.time.Clock()

# Define colors
WHITE = (255, 255, 255)

# Set game screen size
SCREEN_WIDTH = 400
SCREEN_HEIGHT = 600

# Create and fill the display screen with white
DISPLAYSURF = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
DISPLAYSURF.fill(WHITE)
pygame.display.set_caption("Game")

# Define the Player class
class Player(pygame.sprite.Sprite):
    def __init__(self):
        super().__init__()
        self.image = pygame.image.load("Player.png")
        self.rect = self.image.get_rect()
        self.rect.center = (160, 520)

    def update(self):
        pressed_keys = pygame.key.get_pressed()
        if self.rect.left > 0:
            if pressed_keys[K_LEFT]:
                self.rect.move_ip(-5, 0)
        if self.rect.right < SCREEN_WIDTH:
            if pressed_keys[K_RIGHT]:
                self.rect.move_ip(5, 0)

    def draw(self, surface):
        surface.blit(self.image, self.rect)

# Define the Enemy class
class Enemy(pygame.sprite.Sprite):
    def __init__(self):
        super().__init__()
        self.image = pygame.image.load("Enemy.png")
        self.rect = self.image.get_rect()
        self.rect.center = (random.randint(40, SCREEN_WIDTH - 40), 0)

    def move(self):
        self.rect.move_ip(0, 10)
        if self.rect.bottom > 600:
            self.rect.top = 0
            self.rect.center = (random.randint(30, 370), 0)

    def draw(self, surface):
        surface.blit(self.image, self.rect)

# Create characters
P1 = Player()
E1 = Enemy()

# Define the game loop
while True:
    for event in pygame.event.get():
        if event.type == QUIT:
            pygame.quit()
            sys.exit()
    
    P1.update()
    E1.move()

    DISPLAYSURF.fill(WHITE)
    P1.draw(DISPLAYSURF)
    E1.draw(DISPLAYSURF)

    pygame.display.update()
    FramePerSec.tick(FPS)

Now let's go over which Pygame Python commands are used here.

Game Initialization

Creating a game in Python with Pygame begins with importing the library. Open a file in any IDE or code editor and add these two lines:

import pygame
from pygame.locals import *

The first line imports the Pygame module for Python 3. The second line imports all the variables from pygame.locals.

You can skip the second import, but it significantly reduces the amount of code. For example, without the import, the event for exiting the game would need to be written as pygame.locals.QUIT. With the import, the syntax is much shorter — just write QUIT to add the event.

To use random values, import the random library. Without it, the game would be too predictable:

import random

Another important line to add at the beginning of the file is:

pygame.init()

This is mandatory when using the Pygame library. It must be added before using any other functions from Pygame, or you'll run into initialization problems. Therefore, you add init() at the beginning to prevent errors.

Defining Characters

The project uses an object-oriented approach, which allows to create classes that serve as the foundation for different characters. For instance, you'll have one class for enemies (obstacles in the game), and as you progress through levels, they can evolve and gain additional abilities.

Let's start by defining the player class:

class Player(pygame.sprite.Sprite):
    def __init__(self):
        super().__init__()
        self.image = pygame.image.load("Player.png")
        self.rect = self.image.get_rect()
        self.rect.center = (160, 520)

The image.load() function loads the player's image from a file. To define the sprite boundaries, you use the get_rect() function, which automatically creates a rectangle matching the image's size. This will be useful later when, for example, you implement collision logic between objects. The last line, self.rect.center, sets the player's initial position on the game screen.

def update(self):
    pressed_keys = pygame.key.get_pressed()
    if self.rect.left > 0:
        if pressed_keys[K_LEFT]:
            self.rect.move_ip(-5, 0)
    if self.rect.right < SCREEN_WIDTH:
        if pressed_keys[K_RIGHT]:
            self.rect.move_ip(5, 0)

The update method controls the player's movement. When it's called, it checks if the arrow keys are pressed.

In this project, we're only interested in left and right movement, which allows the player to dodge obstacles. If the left arrow is pressed, the player moves left, and similarly for right movement.

The move_ip() method takes two parameters. The first is the number of pixels to move the object horizontally, and the second is the number of pixels to move it vertically.

The conditions if self.rect.left > 0 and if self.rect.right < SCREEN_WIDTH ensure that the player doesn't move beyond the screen's edges.

def draw(self, surface):
   surface.blit(self.image, self.rect)

The blit() function draws objects on the screen. The first parameter is the object to be drawn (in this case, self.image), and the second is the sprite rectangle.

The enemy class is similar, but it includes a random number generator:

self.rect.center = (random.randint(40, SCREEN_WIDTH - 40), 0)

This ensures that obstacles appear at random locations each time, making the game less predictable.

Creating the Game Loop

The most important part of the game is the game loop:

while True:
    for event in pygame.event.get():
        if event.type == QUIT:
            pygame.quit()
            sys.exit()
    P1.update()
    E1.move()

    DISPLAYSURF.fill(WHITE)
    P1.draw(DISPLAYSURF)
    E1.draw(DISPLAYSURF)

    pygame.display.update()
    FramePerSec.tick(FPS)

The loop runs indefinitely until the user exits the game. This is the simplest implementation. In practice, various events (e.g., losing all lives) could end the game.

First, the update functions for both the Player and Enemy classes are called. Then the screen is refreshed with DISPLAY.fill(WHITE). Finally, the draw function is called to render the objects on the screen.

The pygame.display.update() command updates the screen, displaying all the changes made during that cycle. The tick() function ensures that the frames per second do not exceed the previously set FPS value.

Conclusion

Your game is now ready. While it's not polished enough to order a VPS on Hostman and await a flood of players, it's your first Python game — and now you know how to improve it. For instance, you could add vertical movement or change the logic for spawning obstacles.

There are many possibilities for improving the project. For example, you could make a 3D game by using Pygame's raycasting features. While Pygame can't create something like Cyberpunk 2077, you could certainly make your version of Wolfenstein 3D.

There are numerous tutorials and guides on Pygame that can help you explore both the library and some universal game development concepts. If you later switch to a more advanced game engine, many of these concepts will still be relevant.

Python
23.10.2024
Reading time: 10 min

Similar

Python

Python Static Method

A static method in Python is bound to the class itself rather than any instance of that class. So, you can call it without first creating an object and without access to instance data (self).  To create a static method we need to use a decorator, specifically @staticmethod. It will tell Python to call the method on the class rather than an instance. Static methods are excellent for utility or helper functions that are logically connected to the class but don't need to access any of its properties.  When To Use & Not to Use a Python Static Method Static methods are frequently used in real-world code for tasks like input validation, data formatting, and calculations—especially when that logic naturally belongs with a class but doesn't need its state. Here's an example from a User class that checks email format: class User: @staticmethod def is_valid_email(email): return "@" in email and "." in email This method doesn't depend on any part of the User instance, but conceptually belongs in the class. It can be used anywhere as User.is_valid_email(email), keeping your code cleaner and more organized. If the logic requires access to or modification of instance attributes or class-level data, avoid using a static method as it won't help here. For instance, if you are working with user settings or need to monitor object creation, you will require a class method or an instance method instead. class Counter: count = 0 @classmethod def increment(cls): cls.count += 1 In this example, using a static method would prevent access to cls.count, making it useless for this kind of task. Python Static Method vs Class Method Though they look similar, class and static methods in Python have different uses; so, let's now quickly review their differences. Defined inside a class, a class method is connected to that class rather than an instance. Conventionally called cls, the class itself is the first parameter; so, it can access and change class-level data. Factory patterns, alternate constructors, or any activity applicable to the class as a whole and not individual instances are often implemented via class methods. Conversely, a static method is defined within a class but does not start with either self or cls parameters. It is just a regular function that “lives” inside a class but doesn’t interact with the class or its instances. For utility tasks that are conceptually related to the class but don’t depend on its state, static methods are perfect. Here's a quick breakdown of the Python class/static methods differences: Feature Class Method Static Method Binding Bound to the class Not bound to class or instance First parameter cls (class itself) None (no self or cls) Access to class/instance data Yes No Common use cases Factory methods, class-level behavior Utility/helper functions Decorator @classmethod @staticmethod Python Static Method vs Regular Functions You might ask: why not just define a function outside the class instead of using a static method? The answer is structure. A static method keeps related logic grouped within the class, even if it doesn't interact with the class or its instances. # Regular function def is_even(n): return n % 2 == 0 # Static method inside a class class NumberUtils: @staticmethod def is_even(n): return n % 2 == 0 Both functions do the same thing, but placing is_even inside NumberUtils helps keep utility logic organized and easier to find later. Let’s proceed to the hands-on Python static method examples. Example #1 Imagine that we have a MathUtils class that contains a static method for calculating the factorial: class MathUtils: @staticmethod def factorial(n): if n == 0: return 1 else: return n * MathUtils.factorial(n-1) Next, let's enter: print(MathUtils.factorial(5))120 We get the factorial of 5, which is 120. Here, the factorial static method does not use any attributes of the class instance, only the input argument n. And we called it using the MathUtils.factorial(n) syntax without creating an instance of the MathUtils class. In Python, static methods apply not only in classes but also in modules and packages. The @staticmethod decorator marks a function you define inside a class if it does not interact with instance-specific data. The function exists on its own; it is related to the class logically but is independent of its internal state. Managed solution for Backend development Example #2 Let's say we're working with a StringUtils module with a static method for checking if a string is a palindrome. The code will be: def is_palindrome(string):    return string == string[::-1] This function doesn't rely on any instance-specific data — it simply performs a check on the input. That makes it a good candidate for a static method. To organize it within a class and signal that it doesn't depend on the class state, we can use the @staticmethod decorator like this: class StringUtils:    @staticmethod    def is_palindrome(string):       return string == string[::-1] Let's enter for verification: print(StringUtils.is_palindrome("deed"))True print(StringUtils.is_palindrome("deer"))False That's correct, the first word is a palindrome, so the interpreter outputs True, but the second word is not, and we get False. So, we can call the is_palindrome method through the StringUtils class using the StringUtils.is_palindrome(string) syntax instead of importing the is_palindrome function and calling it directly. - Python static method and class instance also differ in that the static cannot affect the state of an instance. Since they do not have access to the instance, they cannot alter attribute values, which makes sense. Instance methods are how one may modify the instance state of a class. Example #3 Let's look at another example. Suppose we have a Person class that has an age attribute and a static is_adult method that checks the value against the age of majority: class Person:    def __init__(self, age):        self.age = age    @staticmethod    def is_adult(age):       return age >= 21 Next, let's create an age variable with a value of 24, call the is_adult static method from the Person class with this value and store its result in the is_adult variable, like this: age = 24is_adult = Person.is_adult(age) Now to test this, let's enter: print(is_adult)True Since the age matches the condition specified in the static method, we get True. In the example, the is_adult static method serves as an auxiliary tool—a helper function—accepting the age argument but without access to the age attribute of the Person class instance. Conclusion Static methods improve code readability and make it possible to reuse it. They are also more convenient when compared to standard Python functions. Static methods are convenient as, unlike functions, they do not call for a separate import. Therefore, applying Python class static methods can help you streamline and work with your code greatly. And, as you've probably seen from the examples above, they are quite easy to master. On our app platform you can find Python applications, such as Celery, Django, FastAPI and Flask. 
16 April 2025 · 6 min to read
Python

Input in Python

Python provides interactive capabilities through various tools, one of which is the input() function. Its primary purpose is to receive user input. This function makes Python programs meaningful because without user interaction, applications would have limited utility. How the Python Input Works This function operates as follows: user_name = input('Enter your name: ') user_age = int(input('How old are you? ')) First, the user is asked to enter their name, then their age. Both inputs are captured using a special operator that stores the entered values in the variables user_name and user_age. These values can then be used in the program. For example, we can create an age-based access condition for a website (by converting the age input to an integer using int()) and display a welcome message using the entered name: if user_age < 18: print('Sorry, access is restricted to adults only') else: print('Welcome to the site,', user_name, '!') So, what happens when int() receives an empty value? If the user presses Enter without entering anything, let's see what happens by extending the program: user_name = input('Enter your name: ') user_age = int(input('How old are you? ')) if user_age < 18: print('Sorry, access is restricted to adults only') else: print('Welcome to the site,', user_name, '!') input('Press Enter to go to the menu') print('Welcome to the menu') Pressing Enter moves the program to the next line of code. If there is no next line, the program exits. The last line can be written as: input('Press Enter to exit') If there are no more lines in the program, it will exit. Here is the complete version of the program: user_name = input('Enter your name: ') user_age = int(input('How old are you? ')) if user_age < 18: print('Sorry, access is restricted to adults only') else: print('Welcome to the site,', user_name, '!') input('Press Enter to go to the menu') print('Welcome to the menu') input('Press Enter to exit') input('Press Enter to exit') If the user enters an acceptable age, they will see the message inside the else block. Otherwise, they will see only the if block message and the final exit prompt. The input() function is used four times in this program, and in the last two cases, it does not store any values but serves to move to the next part of the code or exit the program. input() in the Python Interpreter The above example is a complete program, but you can also execute it line by line in the Python interpreter. However, in this case, you must enter data immediately to continue: >>> user_name = input('Enter your name: ') Enter your name: Jamie >>> user_age = int(input('How old are you? ')) How old are you? 18 The code will still execute, and values will be stored in variables. This method allows testing specific code blocks. However, keep in mind that values are retained only until you exit the interactive mode. It is recommended to save your code in a .py file. Input Conversion Methods: int(), float(), split() Sometimes, we need to convert user input into a specific data type, such as an integer, a floating-point number, or a list. Integer conversion (int()) We've already seen this in a previous example: user_age = int(input('How old are you? ')) The int() function converts input into an integer, allowing Python to process it as a numeric type. By default, numbers entered by users are treated as strings, so Python requires explicit conversion. A more detailed approach would be: user_age = input('How old are you? ') user_age = int(user_age) The first method is shorter and more convenient, but the second method is useful for understanding function behavior. Floating-point conversion (float()) To convert user input into a floating-point number, use float(): height = float(input('Enter your height (e.g., 1.72): ')) weight = float(input('Enter your weight (e.g., 80.3): ')) Or using a more detailed approach: height = input('Enter your height (e.g., 1.72): ') height = float(height) weight = input('Enter your weight (e.g., 80.3): ') weight = float(weight) Now, the program can perform calculations with floating-point numbers. Converting Input into a List (split()) The split() method converts input text into a list of words: animals = input('Enter your favorite animals separated by spaces: ').split() print('Here they are as a list:', animals) Example output: Enter your favorite animals separated by spaces: cat dog rabbit fox bear Here they are as a list: ['cat', 'dog', 'rabbit', 'fox', 'bear'] Handling Input Errors Users often make mistakes while entering data or may intentionally enter incorrect characters. In such cases, incorrect input can cause the program to crash: >>> height = float(input('Enter your height (e.g., 1.72): ')) Enter your height (e.g., 1.72): 1m72 Traceback (most recent call last): File "<pyshell#2>", line 1, in <module> height = float(input('Enter your height (e.g., 1.72): ')) ValueError: could not convert string to float: '1m72' The error message indicates that Python cannot convert the string into a float. To prevent such crashes, we use the try-except block: try: height = float(input('Enter your height (e.g., 1.72): ')) except ValueError: height = float(input('Please enter your height in the correct format: ')) We can also modify our initial age-input program to be more robust: try: user_age = int(input('How old are you? ')) except ValueError: user_age = int(input('Please enter a number: ')) However, the program will still crash if the user enters incorrect data again. To make it more resilient, we can use a while loop: while True: try: height = float(input('Enter your height (e.g., 1.72): ')) break except ValueError: print('Let’s try again.') continue print('Thank you!') Here, we use a while loop with break and continue. The program works as follows: If the input is correct, the loop breaks, and the program proceeds to the final message: print('Thank you!'). If the program cannot convert input to a float, it catches an exception (ValueError) and displays the message "Let’s try again."  The continue statement prevents the program from crashing and loops back to request input again. Now, the user must enter valid data before proceeding. Here is the complete code for a more resilient program: user_name = input('Enter your name: ') while True: try: user_age = int(input('How old are you? ')) break except ValueError: print('Are you sure?') continue if user_age < 18: print('Sorry, access is restricted to adults only') else: print('Welcome to the site,', user_name, '!') input('Press Enter to go to the menu') print('Welcome to the menu') input('Press Enter to exit') This program still allows unrealistic inputs (e.g., 3 meters tall or 300 years old). To enforce realistic values, additional range checks would be needed, but that is beyond the scope of this article. 
08 April 2025 · 6 min to read
Python

Operators in Python

Python operators are tools used to perform various actions with variables, as well as numerical and other values called operands—objects on which operations are performed. There are several types of Python operators: Arithmetic Comparison Assignment Identity Membership Logical Bitwise This article will examine each of them in detail and provide examples. Arithmetic Operators For addition, subtraction, multiplication, and division, we use the Python operators +, -, *, and / respectively: >>> 24 + 28 52 >>> 24 - 28 -4 >>> 24 * 28 672 >>> 24 / 28 0.8571428571428571 For exponentiation, ** is used: >>> 5 ** 2 25 >>> 5 ** 3 125 >>> 5 ** 4 625 For floor division (integer division without remainder), // is used: >>> 61 // 12 5 >>> 52 // 22 2 >>> 75 // 3 25 >>> 77 // 3 25 The % operator returns the remainder (modulo division): >>> 62 % 6 2 >>> 65 % 9 2 >>> 48 % 5 3 >>> 48 % 12 0 Comparison Operators Python has six comparison operators: >, <, >=, <=, ==, !=. Note that equality in Python is written as ==, because a single = is used for assignment. The != operator is used for "not equal to." When comparing values, Python will return True or False depending on whether the expressions are true or false. >>> 26 > 58 False >>> 26 < 58 True >>> 26 >= 26 True >>> 58 <= 57 False >>> 50 == 50 True >>> 50 != 50 False >>> 50 != 51 True Assignment Operators A single = is used for assigning values to variables: >>> b = 5 >>> variants = 20 Python also provides convenient shorthand operators that combine arithmetic operations with assignment: +=, -=, *=, /=, //=, %=. For example: >>> cars = 5 >>> cars += 7 >>> cars 12 This is equivalent to: >>> cars = cars + 7 >>> cars 12 The first version is more compact. Other assignment operators work similarly: >>> train = 11 >>> train -= 2 >>> train 9 >>> moto = 3 >>> moto *= 7 >>> moto 21 >>> plain = 8 >>> plain /= 4 >>> plain 2.0 Notice that in the last case, the result is a floating-point number (float), not an integer (int). Identity Operators Python has two identity operators: is and is not. The results are True or False, similar to comparison operators. >>> 55 is 55 True >>> 55 is 56 False >>> 55 is not 55 False >>> 55 is not 56 True >>> 55 is '55' False >>> '55' is "55" True In the last two examples: 55 is '55' returned False because an integer and a string were compared. '55' is "55" returned True because both operands are strings. Python does not differentiate between single and double quotes, so the identity check was successful. Membership Operators There are only two membership operators in Python: in and not in. They check whether a certain value exists within a sequence. For example: >>> wordlist = ('assistant', 'streetcar', 'fraudster', 'dancer', 'heat', 'blank', 'compass', 'commerce', 'judgment', 'approach') >>> 'house' in wordlist False >>> 'assistant' in wordlist True >>> 'assistant' and 'streetcar' in wordlist True In the last case, a logical operator (and) was used, which leads us to the next topic. Logical Operators Python has three logical operators: and, or, and not. and returns True only if all operands are true. It can process any number of values. Using an example from the previous section: >>> wordlist = ('assistant', 'streetcar', 'fraudster', 'dancer', 'heat', 'blank', 'compass', 'commerce', 'judgment', 'approach') >>> 'assistant' and 'streetcar' in wordlist True >>> 'fraudster' and 'dancer' and 'heat' and 'blank' in wordlist True >>> 'fraudster' and 'dancer' and 'heat' and 'blank' and 'house' in wordlist False Since 'house' is not in the sequence, the result is False. These operations also work with numerical values: >>> numbers = 54 > 55 and 22 > 21 >>> print(numbers) False One of the expressions is false, and and requires all conditions to be true. or works differently: it returns True if at least one operand is true. If we replace and with or in the previous example, we get: >>> numbers = 54 > 55 or 22 > 21 >>> print(numbers) True Here, 22 > 21 is true, so the overall expression evaluates to True, even though 54 > 55 is false. not reverses logical values: >>> first = True >>> second = False >>> print(not first) False >>> print(not second) True As seen in the example, not flips True to False and vice versa. Bitwise Operators Bitwise operators are used in Python to manipulate objects at the bit level. There are five of them (shift operators belong to the same type, as they differ only in shift direction): & (AND) | (OR) ^ (XOR) ~ (NOT) << and >> (shift operators) Bitwise operators are based on Boolean logic principles and work as follows: & (AND) returns 1 if both operands contain 1; otherwise, it returns 0: >>> 1 & 1 1 >>> 1 & 0 0 >>> 0 & 1 0 >>> 0 & 0 0 | (OR) returns 1 if at least one operand contains 1, otherwise 0: >>> 1 | 1 1 >>> 1 | 0 1 >>> 0 | 1 1 >>> 0 | 0 0 ^ (XOR) returns 1 if the operands are different and 0 if they are the same: >>> 1 ^ 1 0 >>> 1 ^ 0 1 >>> 0 ^ 1 1 >>> 0 ^ 0 0 ~ (NOT) inverts bits, turning positive values into negative ones with a shift of one: >>> ~5 -6 >>> ~-5 4 >>> ~7 -8 >>> ~-7 6 >>> ~9 -10 >>> ~-9 8 << and >> shift bits by a specified number of positions: >>> 1 << 1 2 >>> 1 >> 1 0 To understand shifts, let’s break down values into bits: 0 = 00 1 = 01 2 = 10 Shifting 1 left by one bit gives 2, while shifting right results in 0. What happens if we shift by two positions? >>> 1 << 2 4 >>> 1 >> 2 0 1 = 001 2 = 010 4 = 100 Shifting 1 two places to the left results in 4 (100 in binary). Shifting right always results in zero because bits are discarded. For more details, refer to our article on bitwise operators. Difference Between Operators and Functions You may have noticed that we have included no functions in this overview. The confusion between operators and functions arises because both perform similar actions—transforming objects. However: Functions are broader and can operate on strings, entire blocks of code, and more. Operators work only with individual values and variables. In Python, a function can consist of a block of operators, but operators can never contain functions.
08 April 2025 · 6 min to read

Do you have questions,
comments, or concerns?

Our professionals are available to assist you at any moment,
whether you need help or are just unsure of where to start.
Email us
Hostman's Support