The Best Resources to Learn PYTHON Programming for Free

Free Code Camp – This site is a real gem, jam-packed with thousands of 100% free coding content, including videos, articles, and interactive coding lessons. As a nonprofit organization, the mission of Free Code Camp is all in its name: to help people learn to code for free. Over 40,000 graduates of Free Code Camp have gone on to get developer jobs, many at top tech companies. The site offers a wide variety of Python coding courses and their YouTube Channel features thousands of hours of video instruction. Here are some of Free Code Camp’s most popular YouTube Courses:

1. 1. Learn Python – Full Video Course for Beginners – YouTube – With this 4.5-hour long video course you will receive a strong fundamental understanding of Python programming core concepts.
   2. Learn Python by Building Five Games – Full Video Course – YouTube – This 6+ hour video course includes 5 different Python game tutorials to teach you programming while making several fun video games.
   3. Intermediate Python Programming Video Course – YouTube – If you already have a basic understanding of Python programming, this is the video course for you. In 5.5 hours you will do a quick review of the basics of Python before advancing to an intermediate level of learning.
   4. Python for Everybody – Full University Python Course – YouTube – This extensive 13+ hour Python programming video course teaches the basics of programming computers using Python and requires no prior programming knowledge.
   5. 12 Beginner Python Projects – Coding Course – YouTube – This 3 hour Python coding video course is for people who already have a little bit of python knowledge and are trying to test their skills with the video course’s 12 different project tutorials.
   6. Python for Data Science – Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) – YouTube – With this 12-hour video course, you will learn the fundamentals of Python programming and how to analyze data with Python by using tools like Matplotlib, NumPy, and Pandas.
   7. Data Structures and Algorithms in Python – Full Course for Beginners – YouTube – In this 12.5-hour-long video course, you will receive a beginner-friendly introduction to common Python data structures and algorithms.
   8. Data Analysis with Python – Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn) – YouTube – This comprehensive tutorial for beginners covers many aspects of Data Analysis, such as how to read data from multiple sources (CSVs, SQL, Excel, etc), process data using NumPy and Pandas, visualize it using Matplotlib, and Seaborn and clean and process it to create reports. A thorough Jupyter Notebook tutorial and a quick Python reference to refresh your programming skills are also covered.
   9. Object-Oriented Programming with Python – Full Course for Beginners – YouTube – In this video course, you will learn how to implement object-orientated programming in Python and why it is important for software development, all in a little over 2 hours.
   10. Python Automation Tutorial – How to Automate Tasks for Beginners [Full Course] – YouTube – This video course will teach you how to automate common tasks with Python programming by following along with 6 projects in 3 hours.

Microsoft Developer: Python For Beginners Video Course – YouTube – This popular Python course by Microsoft includes 44 bite-sized videos that have received millions of views. This course will teach you the basics of Python programming and by the end, you will have a strong foundational knowledge of coding in Python that will facilitate continuing your Python learning journey on your own.

New Boston Python Programming Tutorials – YouTube – This 43 video tutorial playlist is a good place to start for an introduction to Python.

Python Tutorial for Beginners by TechWorld with Nana – YouTube – This Python Tutorial for Beginners is a complete Python programming course that covers everything you need to get started with Python in 5 hours and provides hands-on experience with several demo projects for practice.

Programming with Mosh – YouTube – On this popular YouTube channel Mosh teaches programming to his millions of subscribers in order to help people along in their goals of becoming professional software engineers. Check out these two courses to learn to code in Python:

1. Python Tutorial – Python for Beginners Full Video Course – YouTube –  With this 6-hour video course, you will go from knowing nothing to having a strong understanding of the Python programming language and a solid skillset. The free video course also includes a machine learning and web development project.
2. Learn Python by Building Five Games – Full Video Course – YouTube – In this free video course for beginners, you will quickly learn how to get started and code with Python, all in just 1 hour.

CodeBind Python Tutorial For Absolute Beginners – YouTube – This Python programming course for beginners is made up of 222 short videos with millions of views. This course will walk you through everything you need to know to get started on your Python Journey, step by step, from downloading Python to making your first projects.

The Python Projects – YouTube – Tiny Python Projects book by Ken Youens-Clark consists of 22 chapters with Python challenges and programs to write, that can each be self-tested for accuracy. This popular book and associated video series are designed to take you from Python newbie to Pro in no time at all.

Caleb Curry Coding Courses – Caleb Curry is passionate about making programming fun and simple and he offers high-quality video tutorials on coding Python, C++, JavaScript, C, database design, SQL, and more. Check out these great Python tutorial playlists.

1. Getting Started With Python Programming Video Course – YouTube – This 100 part video course provides almost 7.5 hours of Python programming instruction. You can find the entire class from start to finish in one video here.
2. Beginner Python Programming All-in-One Tutorial Series – YouTube – This 100 part video course provides over 6 hours of Python programming tutorials. You can find the entire class from start to finish in one video here.

Corey Schafer Python Programming Tutorials – YouTube – This hefty Python course features 143 comprehensive video tutorials giving viewers an in-depth look at the Python programming language.

Telusko Python Tutorial for Beginners Full Course – YouTube – This Python programming course consists of 110 videos with over 30 million views. The course is perfect for Python beginners because it includes everything you need to get started with programming on your own, from downloading Python to learning how to use the programming language on a day-to-day basis.

Python Basics Series – YouTube – This 10 part bite-sized video series goes over all the Python basics to help you get started with the programming language.

Python for Beginners: Learn how to code properly in 2021 – YouTube – This video covers the basics of Python and will give you a really strong understanding of the programming language and how to code, all in just under 6 hours.

Python Byte Size Video Series – YouTube –  Philip Jones is a retired university professor from the UK who has dedicated his time to developing an incredible selection of hundreds of high-quality Python programming videos covering all levels and topics.

‘Beyond PEP 8: Best Practices for Beautiful Intelligible Code’ Talk by Raymond Hettinger at PyCon 2015 – YouTube – This is the hour-long lecture by Python developer, teacher, and consultant, Raymond Hettinger, from the PyCon 2015 conference in Montreal, which was really well-received and full of useful insight.

The Real Python Podcast – Apple – Google – Spotify – Python programmer Christopher Bailey hosts this popular podcast featuring interviews, coding tips, and conversations with guests from the Python community. This podcast will keep you up to speed on Python programming best practices, career tips, and other topics related to software development.

Teaching Python With Kelly and Sean Podcast – Apple – Google – Spotify – This podcast, hosted by computer science teachers Kelly Paredes and Sean Tibor, goes over their experiences with the Python programming language and how they use it on a day-to-day basis.

Talk Python to Me Podcast – Apple – Google – Sound Cloud – This podcast, hosted by Michael Kennedy, posts weekly episodes covering a wide range of Python-related topics and often with industry expert guests.

Podcast.__init__ Podcast  – Apple – Google – Spotify – Engineer and Python programmer Tobias Macey hosts this podcast with weekly episodes offering useful insights on Python projects, web development, data science, and other important topics to help you grow your career.

Test and Code Podcast – Apple – Google – Spotify – Another great podcast to listen to for those getting into Python programming is the Test and Code podcast hosted by Brian Okken. Some topics covered by this podcast include Python programming, software engineering, automated testing & testing strategy, pytest, data science, and software methodologies.

Python Bytes Podcast – Apple – Google – Sound Cloud – This podcast, which is hosted by both Brian Okken and Micheal Kennedy, discusses important updates from Python developers and other important programming news in weekly episodes.

Django Riffs Podcast – Apple  – Google – Spotify – This popular Python podcast, hosted by Matt Laymen, is the perfect podcast for those who want to learn how to build web applications using Django as well as discover all of its most useful features.

Profitable Python Podcast – Apple – Google – Spotify – Profitable Python hosted by Ben McNeil is a podcast devoted to helping Python programmers take their skills to the next level. Enjoy regular episodes with guests who are experts in the programming field.

Early Access PyCharm Podcast – Apple – Google – Spotify – YouTube – This podcast, hosted by JetBrains, includes some behind-the-scenes information on how the Pycharm IDE was made as well as several interviews with members of the Pycharm team who explain what goes into making a Python IDE.

Import This: A Python Podcast for Humans – Apple – Google – Spotify – Python developers Alex Gaynor and Kenneth Reitz host this podcast where they discuss all things Python. Take a listen.

Radio Free Python Podcast – Google – Although they stopped producing content in 2013, the Radio Free Python podcast contains extremely useful information on the Python Programming language and its community. It remains a great learning resource even though it is a little outdated.

From Python Import Podcast –  Google – In this popular podcast, you can listen to the discussions, opinions, and thoughts of the four hosts on all things Python, as well as listen in on interviews with professionals in the Python programming field. 

Python Out Loud Podcast – Apple – Google – Spotify – Python Out Loud, hosted by Kevin Chang and Isaiah Lankham, is the perfect podcast for everyone, whether or not you are a Python beginner or an expert. This podcast is great for those who want to listen to casual Python talk about problem-solving and learning the programming language in general.

Mid Meet Py Podcast – Apple – Spotify – Google – Mid Meet Py, a weekly podcast hosted by Cheuk Ting Ho, goes over important topics and news related to the Python programming language as well as frequent interviews with leaders in the community.

How to Code Well Podcast – Apple – Google – Spotify – This podcast, hosted by a web developer in the UK, goes over programming languages like Python, JavaScript, Linux, Docker, PHP, MYSQL, and HTML. This podcast is very informative and great for anyone, even people with no prior Python experience.

Python on Hardware Podcast – Apple – YouTube – Python on hardware by Adafruit Industries posts weekly episodes on all topics from Python programming to just electronics in general.

The Airflow Podcast – Apple – This podcast discusses topics based on an open-source workflow management system called Apache Airflow that lets you define data pipelines in Python. Their last episode was posted in February of 2021, but all the episodes contain very useful information.

DataCamp Python Courses – DataCamp is an online learning platform that focuses exclusively on Data Science education. Most of the courses are only available through the PRO membership, but we have highlighted a few of the free Python courses below.

1. Introduction To Python – This course focuses on Python specifically for data science, teaching about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.
2. Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons) – This course not only provides a foundational understanding of data science and Python but will prepare you to participate in machine learning competitions on Analytics Vidhya, a data science community website. Chapters include Introduction to Python for Data Analysis, Python Libraries and data structures, Exploratory analysis in Python using Pandas, Data Munging in Python using Pandas, and Building a Predictive model in Python
3. Tidy Data in Python Mini-Course – This mini-course will prepare you for the organizational tasks that you will face as a data scientist, the standards for tidy data, the importance of maintaining a tidy, easy-to-use dataset, and how to create tidy datasets from messy ones using the Pandas package in python.

LearnPython.org interactive Python Tutorial – Whether or not you are experienced in the field of programming, this site has useful information for everyone. It contains both beginner and advanced Python tutorials and even data science tutorials.

Google Python Class – The Google Python class is perfect for those who already have some programming skills and are looking to get into the world of Python. This class includes a variety of materials such as lecture videos, written materials, and tons of coding exercises.

Introduction to Python Programming on Udacity – The Introduction to Python Programming Course by Udacity goes over the fundamentals of the Python Programming language, with many exercises on the topic to test your skills as you learn. This course is meant for beginners but it can still be great practice for those who are already familiar with Python coding.

Python Courses on Udemy – Google – Apple – Udemy is an online learning and teaching platform that offers thousands of classes on all topics, including learning to program and data science, many of which are free. We have highlighted some of the best free Python Programming courses below.

1. Introduction To Python Programming – This course offers a quick and easy introduction to Python Programming, covering the basics. No prior programming experience is needed.
2. Introduction To Programming with Python – This introductory Python course consists of 14 lectures that cover 2 hours and 17 minutes of on-demand video.
3. An Introduction to Python Programming – This course doesn’t require any prior Python knowledge and teaches the fundamentals of procedural, object-oriented, and functional programming in Python over 1 hour and 39 minutes of on-demand video.
4. Python from Beginner to Intermediate in 30 min –  This Python course starts from scratch, beginning with installation, and guides students into more advanced concepts.
5. Python for Absolute Beginners – This beginner Python course will take you through installing Python on Windows, Mac, and Linux, running scripts in the interpreter, setting up an IDE, understanding programming basics, writing functions & arguments, and developing a calculator application.
6. Learn Python 3.6 for Total Beginners – This free course boasts 6 hours and 42 minutes of on-demand video promising to take students from newbie to pro in a day and includes 7 brain-teasing exercises with solutions.
7. Learn Python – Python Programming For Beginners From Scratch – This 55-minute beginner course teaches Python from scratch with free exercises.
8. Python 3 in 100 Minutes – This course features 4 hours and 11 minutes of on-demand video covering variables and data types & comparison operators, for and while loops & functions, logical operators & conditional statements (If-else), and fundamentals of Python programming.
9. Learn The Building Blocks of Python For Absolute Beginners – Here is another course introducing absolute beginners to Python Fundamentals and object-oriented programming in 50 minutes of on-demand video.
10. Learn Programming with Python – With over 12 hours of on-demand video, this course teaches the basics of programming in Python and Object-Oriented programming.
11. Python for Beginners – Learn Python Completely From Scratch – In about 2.5 hours of on-demand video this course teaches basic Python including syntax, data types in Python (numbers, strings, and booleans), variables, conditional statements, and how to make multi-functional programs.
12. Python Programming for Beginners – In this basic Python course, students will learn about data types, decision control, loops, functions in Python, classes & objects in Python, and Python Applications.
13. Python For Beginners – This beginner Python course focuses on Python basics and Caesar Cipher, including all essential knowledge in order to hack Caesar Cipher, encrypt messages using the Caesar Cipher rule and use Python to decrypt Caesar Cipher messages.
14. Learn Python: Python in 80 Minutes for Beginners (2022) – This 80-minute beginner Python course, that teaches the fundamentals of Python. includes 6 quizzes and 4 coding exercises to enhance your learning process.
15. Learn Python: Build a Virtual Assistant – This Python programming course takes students from beginner to intermediate level in a fun way by creating a real-world application (a virtual assistant for your computer).

Learn Python 3 From Scratch – In this hands-on course by Educative, you will learn the fundamentals of Python programming by doing coding exercises in your browser and by reading along with text-based instructions so you can learn at your own pace.

Python Courses on Coursera – Apple – Google – Coursera is an online learning platform that offers courses and degrees from top universities and companies to students worldwide. Coursera offers tons of free courses and we have picked the top free Python Programming courses for you.

1. Python For Everybody Specialization – In this Coursera course, you will be walked through the process of installing Python and writing your first program, the basics of Python programming, how to use variables to retrieve, store, and calculate information, and finally how to utilize core programming tools like functions and loops.
2. Crash Course on Python – This Coursera course offered by Google is designed to teach beginners the fundamentals of Python programming in order to give students a foundation of knowledge to allow them to program on their own. With this course, you will learn why Python is relevant to automation, how to write short Python programs to perform automated tasks, how to create your own Python objects, and lastly how to use the Python structures: lists, strings, and dictionaries.
3. Python Basics – This is the perfect course for learning the basics of Python 3, meant for both beginners to the programming world as well as anyone who already knows how to program with Python and wants to sharpen their skills. This course is the first of five courses for specialization in the Python 3 Programming language on Coursera.
4. Introduction to Python – Guided Project – In this introduction to Python, you will learn the programming language by following along with instructions on how to create a guessing game application that will compete against the user. In order to make the game, you will learn how to create variables, decision constructs, and loops in Python.
5. Introduction to Python Programming – This Coursera course provides an introduction to programming with Python starting with the core concepts of the programming language: loops, data structures, conditionals, variables, and functions. The course also includes an overview of different tools that students can use for writing and running Python to get them started on programming right away.
6. Python Programming: A Concise Introduction – The goal of this course is to get students to learn to program with Python through hands-on experience. This course is made up of four modules and is meant to take about four weeks to finish. Whoever takes this course will learn to program through several different exercises during which they will have to write programs and submit them to be graded. Although this course is for beginners in the programming field, this course can still be perfect for you even if you are an expert wanting a little extra practice.
7. Introduction to Scripting in Python Specialization – Through a collection of four courses, you will go over the core Python 3 programming concepts and will learn to use programming to perform simple scripting tasks.

Python Courses on SoloLearn – Apple – Google – SoloLearn is a free online resource and educational platform, offering the largest selection of free coding courses. geared towards people who want to learn to program.

1. Python For Beginners – In this Python for Beginners course by SoloLearn, you can quickly and easily learn the Python programming language by building real-life projects and solving different coding challenges.
2. Intermediate Python Programming Course – If you are already comfortable with the basics of Python programming and you are ready to move to a more intermediate level, then this is the right course for you.
3. Python Core – The Python Core course on SoloLearn will teach you the core concepts of Python programming, giving you a strong fundamental understanding of the programming language, and how to apply your skills on a day-to-day basis.
4. Python For Data Science – With this Python for Data Science course on SoloLearn, you will learn about three different Python libraries for data visualization and manipulation: NumPy, Matplotlib, and Pandas.
5. Python For Data Structures – In this SoloLearn course, you will learn how to properly use the different built-in data structures in Python such as lists, strings, tuples, dictionaries, and sets.

Python Courses on edX – edX is an online global education portal offering free courses from the world’s top universities. Over 160 partner institutions including prestigious Universities like Harvard, MIT, Berkeley, Stanford, and Columbia offer excellent courses to over 34 million people who use this fantastic learning platform.

1. CS For All: Introduction to Computer Science and Python Programming –  This self-paced course by IBM on edX will teach you the basics of Python for Data Science. It is estimated to take around 3 weeks to complete at a rate of about 4-10 hours of time per week.
2. Introduction to Programming Using Python – Quickly learn Python with this in-depth and hands-on Python programming course. By the end of this self-paced course, you will have a strong foundation of Python knowledge and be prepared to apply your skills on a day-to-day basis. It is estimated to take around 16 weeks to complete with a time investment of 6-15 hours per week.
3. Introduction to Computer Science and Programming Using Python – This MIT course is the first part of a two-course sequence, with the second part being an Introduction to Computational Thinking and Data Science. This instructor-paced edX course will take an estimated 9 weeks to complete with a time investment of 14-16 hours per week.
4. Introduction to Computational Thinking and Data Science – This MIT course is the second part of a two-course sequence, with the first part being an Introduction to Computer Science and Programming Using Python. This instructor-paced edX course will take an estimated 9 weeks to complete with a time investment of 14-16 hours per week.
5. Programming for Everybody (Getting Started with Python) – In this Python programming course, you will learn about conditional execution, repeated execution, variables, and how to use functions. The great thing about this course is that it doesn’t require any prior Python coding experience. This self-paced course is estimated to take 7 weeks to complete with a time investment of 2-4 hours per week.
6. Python Basics for Data Science – This beginner-friendly course on edX will teach you the Python basics for data science. You will learn by practicing through lab exercises and by the end of the course you will be able to write Python scripts on your own. This self-paced course is estimated to take 3 weeks to complete with a time investment of 4-10 hours per week.
7. Introduction to Computing in Python by Georgia Tech – This four-part series of courses from Georgia Tech is designed to take absolute beginners with no computer science background whatsoever to a level of proficiency in the basics of computing and programming, specifically Python. The track includes four free courses: Computing in Python I: Fundamentals and Procedural Programming, Computing in Python II: Control Structures, Computing in Python III: Data Structures, and Computing in Python IV: Objects & Algorithms

Free Online Python Course – This free online Python course is based on the in-person classroom training courses of German programming education company Bodenseo, owned by well-known computer scientist and Python trainer Bernd Klein.

The University of Waterloo Python From Scratch Course – This introductory Python course is a great resource, offered for free online by one of the most prestigious Canadian universities.

A Crash Course in Python for Scientists – This Python course was developed by Rick Muller, of the Center for Computing Research at Sandia National Laboratories, and is also available as a PDF.

Python Courses on CognitiveClass – Formerly known as Big Data University, CognitiveClass.ai provides entirely free online courses primarily centered around the subjects of data science, AI, big data, cloud computing, and blockchain. They also offer a virtual lab environment that enables users to practice what they learn.

1. Python for Data Science – This Python course is perfect for beginners with no programming background. Not only will this course get you programming in a matter of hours, by the end of the course you’ll be able to write your own Python scripts.
2. Data Analysis with Python – This course teaches students how to analyze different types of data using Python including how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and predict future trends from data.
3. Data Visualization with Python – This Python course teaches how to create graphics and customize charts as a means of effectively summarizing data findings and displaying them in a way that makes it easier to identify patterns or trends and to interpret.

Anvil: Web Apps With Nothing but Python Course – This course was developed by professional software trainer and Python enthusiast Michael Kennedy, host of the #1 podcast on Python called Talk Python To Me and Python Bytes. This fantastic course is centrally focused on building web apps with Anvil and Python and covers the core concepts of forms, design components, and databases, as well as building an eCommerce web application from scratch with secure user management.

Non-Programmer’s Tutorial for Python 3 – This tutorial for Python 3 is perfect for beginners with little to no experience in coding. It is a step-by-step guide teaching everything needed to know to get started with the programming language including example programs, explanations, and exercises.

The Official Python Tutorial – This Python tutorial, by Python.org, introduces readers to the core concepts and features of the programming language. After reading it you will be able to understand and write Python code.

Introduction To Python – In Microsoft’s introduction to Python you will learn how to write basic Python code, declare variables, and work with console input and output.

100 Page Python Intro – In this 100 page Python tutorial, you will learn all the most necessary topics to get started with programming, from syntax and semantics to input/output and writing programs.

Introduction To Programming with Python – This great introduction to programming with Python tutorial goes over every topic a new Python programmer could possibly need to know to get started.

W3 Schools Python Tutorial – With W3 School’s Python Tutorial, beginners can learn to code through explained examples of code and several exercises on all the most important topics.

Python for You and Me – This simple tutorial is an easy-to-follow guide to introduce absolute beginners to the world of Python programming.

Programiz Learn Python Programming – This open Python tutorial is an easy-to-follow guide to everything you need to know to start programming with Python. It includes examples of code, explanations, and video lessons to follow along with.

Python Tutorial for Beginners: Learn Programming Basics – In this beginner’s Python tutorial readers will learn both the Python programming basics and advanced topics in a well-explained and easy-to-follow way.

Python Tutorials – Python tutorials by Pythonspot.com offer a complete, in-depth, and easy-to-follow guide to the programming language, suitable for both beginners and experts in the coding space.

How to Develop Quality Python Code – This Python tutorial offers detailed, yet easy to understand, explanations with examples on how to develop quality Python code.

Python Programming Fundamentals – This tutorial, designed for complete beginners to the coding space, will teach you the fundamentals of the Python programming language and will make sure you are prepared for starting your own programming projects.

Python 101 – Introduction to Python –  In this tutorial by DaveKuhlman.org you will read through an introduction to the most commonly used and important features of the Python programming language and learn how to apply them to your code.

Learn Python Programming Tutorial – This tutorial by PythonBasics.org is great not only because it provides detailed explanations of the core concepts of the Python programming language, but because it also contains several exercises and examples of code.

Introduction to Python (2 and 3) – This tutorial is an introduction to Python and is meant to be a resource for students learning Python as their first programming language as well as teachers looking for a free and open curriculum to use with their students.

Python Scientific Lecture Notes – With Scipy Lecture Notes you have all the information you need to learn the fundamentals of numerics, science, and data with Python, all in one place.

Build App with Python Antitextbook – This great tutorial found on GitHub teaches the fundamentals of Python through detailed explanations of Python code examples. This tutorial is meant for beginners who already have a bit of programming knowledge.

How to Use Python: Your First Steps (Beginner Python Tutorial) – This Python tutorial, meant for absolute beginners, informs readers how to take their first steps with Python from how to install Python to getting started with coding.

The Ultimate Python Study Guide – This study guide on Reddit is a treasure trove of information for both beginners and experts in the Python programming space that is full of articles and resources for every topic on the programming language.

Python 101 Tutorial by OverIG – This is another handy Python tutorial for beginners to learn the basics of the programming language from installing Python to using it to code in everyday life.

Official Style Guide for Python Code – With this Python tutorial by Guido van Rossum on Python.org, Python programmers of any skill level can learn how to write beautiful and readable Python code.

Python Packaging User Guide – The Python Packaging User Guide is a collection of tutorials to help you distribute and install Python packages created by the PyPA (Python Packaging Authority).

Hacker Science – This interactive programming exercise platform allows users to answer Python code questions and get instant feedback on their code with detailed instructions on how to improve, all in your browser!

Reeborg’s World – This site is designed to help beginners learn to program with Python in a friendly environment and through easy-to-understand tutorials and exercises.

CodeTriage – The CodeTriage platform provides a space to practice and improves your Python skills by working on open-source coding projects, helping you to become a better developer.

Codewars – Improve your coding skills in all of the most popular programming languages, including Python, by practicing and completing challenges and getting instant feedback on how to improve your code.

Coding Bat – With Coding Bat you can easily improve and refine your Python programming skills by completing their large selection of coding practice problems.

CheckiO – CheckiO is an interactive and educational game platform for programmers of any skill level to engage in Python coding challenges.

Project Euler – Project Euler is a series of mathematical questions/exercises that require the use of computer programming to solve. These exercises are the perfect practice for already experienced programmers who are looking to keep their skills sharp.

Daily Programmer SubReddit – This list of Python programming exercises on Reddit provides great practice to Python programmers of any skill level.

Exercism – Easily refine your Python programming skills through completing Exercism’s 129 coding exercises with automatic analysis to improve and optimize your code.

PyGrail – Pygrail is a quiz site that helps Python beginners to extend their knowledge through question-based learning.

Python Practice Projects – Python Practice Projects is a set of practice exercises and projects made for programmers who are already familiar with the Python programming language and who are looking to practice solving difficult coding problems.

Michigan State University CS1 Python Programming Projects Archive – This helpful project archive provides access to the projects completed over the course of the Computer Science class at Michigan State University. This archive is organized by the order that the topics were covered and the projects are nicely categorized starting with introductory level simple projects and progressing to Working With Strings. Simple Functions, Lists and Tuples, Dictionaries and Sets, and so on.

Learn Python For Free with Olof Paulson on Scrimba – This 58 part interactive tutorial will teach beginners to code with Python through many interactive exercises, courses, and other fun coding challenges.

PythonTutor.com – This fantastic innovation was developed by Philip J. Guo, Assistant Professor in the Department of Computer Science at the University of Rochester as a research software project that was over a decade in the making. This web-based application helps over 10 million coders worldwide to visualize code in Python, Java, Ruby, JavaScript, TypeScript, C, and C++. Although not a full-blown web-based IDE that supports visual debugging of larger-scale production code, it is an amazing tool that helps people to better learn how to code by seeing and understanding what happens as the computer runs each line of code.

Replit – This great Python IDE allows you to code, collaborate on projects, compile, run, share, and deploy Python, all in your browser. It is available not only for Python but for over 50 other programming languages.

Skulpt – By using this Python IDE you can write and run code directly into your browser without having to worry about preprocessing, plugins, or server-side support.

Ideone – This online tool allows you to compile, debug, execute and share code, all in your web browser and in over 60 programming languages including Python.

Brython – Brython (short for “Browser’s Python”) is an implementation of Python 3 for your browser. Brython’s goal is to replace Javascript as the scripting language of the web.

IPython Interactive computing – IPython (Interactive Python) is an enhanced interactive Python interpreter. This open-source software provides an enhanced interactive Python shell, a decoupled two-process communication model, which allows for multiple clients to connect to a computation kernel, and an architecture for interactive parallel computing.

Trinket – Trinket is an all-in-one coding environment designed for education that lets teachers and students run and write code in any browser or device and easily share or embed the code with your changes when you’re done.

PyCharm IDE – PyCharm is a popular open-source IDE developed by JetBrains that offers lots of essential features like “code analysis, a graphical debugger, an integrated unit tester, integration with version control systems and supports web development with Django as well as data science with Anaconda.”

Spyder IDE – Spyder is a robust free and open-source IDE that features a “unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.”

PyDev IDE – This open-source Python IDE for Eclipse can be used in Python, Jython, and IronPython development. It is full of useful features like Django integration, code completion, debugger, code analysis interactive console, and much more.

Eric IDE – Eric is a full-featured Python editor and IDE based on the cross-platform Qt UI toolkit, integrating the highly flexible Scintilla editor control and providing all the necessary tools for writing code and for the professional management of a software project.

Thonny IDE – This free user-friendly Python IDE was initially developed at the Institute of Computer Science of the University of Tartu, Estonia. It is a simplified IDE tailored for beginners that includes all of the necessary features including a debugger, syntax error highlighting, code completion, step through expression evaluation, and more.

Atom Text Editor – Developed by GitHub, Atom is a free and open-source cross-platform (macOS, Linux, and Microsoft Windows) text and source code editor with support for plug-ins written in JavaScript, and embedded Git Control. This desktop application has been referred to as “A hackable text editor for the 21st Century”.

Vim Text Editor – Vim is a free and very useful, highly configurable text editor built to enable efficient text editing. Although it is not an IDE, it has been referred to as a “programmer’s editor”, and is nearly as useful for programming as an IDE. It can be used in a variety of ways, from a simple text editor or to a very advanced one.

Visual Studio Code IDE – This free, open-source, cross-platform (Windows, Linux, and macOS) source code editor is chock-full of features including debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded Git.

Geany IDE – Geany, aka The Flyweight IDE, is a powerful, flexible, stable, lightweight, and cross-platform text editor for programmers that is full of useful features. It is translated into over 40 languages and has built-in support for more than 50 programming languages.

Kate Text Editor – Kate, aka The KDE Advanced Text Editor, is a text editor built for software developers featuring syntax highlighting, code folding, customizable layouts, regular expression support, and extensibility.

KDevelop IDE – This plugin extensible IDE for Python, C/C++, and many other programming languages offers useful features like editing, navigation, and debugging.

Komodo IDE – This free cross-platform IDE is great for Python and lots of other programming languages. This comprehensive editor offers code intelligence, debugging and unit testing, version control, customization with add-ons and extensions, and a lot more.

Dive Into Python 3 – Mark Pilgrim is the author of this great book which was written as a follow-up to his original book Dive into Python. It’s very highly regarded and provides complete code samples in each chapter followed by detailed explanations making it a fast and hands-on learning resource.

Hacking Secret Ciphers with Python – Hacking Secret Ciphers With Python by By Al Sweigart is the perfect book for complete beginners to get into the world of Python in an easy-to-understand way. This book features the source code for multiple ciphers and the code used to hack them to help readers better understand how they work.

An Introduction to Python Programming – This book by Guido van Rossum is a great resource for beginners to coding that will lay a strong foundation of knowledge in the Python programming language.

Python for Everybody: Exploring Data Using Python 3 – This very highly regarded book on Python Programming by University of Michigan professor Dr. Charles R. Severance is available for download as a PDF and on this interactive website.

Think Stats: Probability and Statistics for Programmers – Allen B. Downey’s Think Stats book emphasizes simple techniques you can use to explore real data sets.

Making Games with Python & Pygame – This popular book on Python Programming by software developer and programming teacher Al Sweigart is available for download as a PDF and on this interactive website.

Learn Python Break Python – This book Scott Grant provides a hands-on introduction to Python meant for absolute beginners with no prior experience.

Python 101 – This book by Mike Driscoll, primarily made for beginners to Python Programming, will teach you Python from beginning to end, going over everything you need to know to get started.

Python Notes for Professionals – This Python Notes for Professionals book is compiled from Stack Overflow Documentation.

Think Python – Think Python by Allen B. Downey is a great resource for learning Python. With this hands-on, step-by-step guide you will learn to program in no time. The book starts off with the basics and slowly advances to more complicated material.

Picking a Python Version: A Manifesto – This Python programming book by David Mertz guides you through the process of picking the perfect Python version for you. It goes over the pros and cons of each version as well as why they exist.

Invent Your Own Computer Games with Python, 4th Edition – This book by Al Sweigart will teach you to program with Python from start to finish. You will learn by examining the source code of basic computer games and by the end of the book you will be able to make Python computer games on your own.

Cracking Codes with Python – This book by Al Sweigart teaches the basics of Python programming by examining the source code of several ciphers and hacking programs for them. Examples of the cipher source code included are the Caesar cipher, transposition cipher, simple substitution cipher, multiplicative & affine ciphers, and Vigenere cipher.

The Big Book of Small Python Projects – Al Sweigart’s book teaches readers to program with Python through a collection of multiple projects to teach you to make digital art, games, animations, number-crunching tools, and more with Python.

Beyond the Basic Stuff with Python – This book by Al Sweigart is meant for programmers who already have a basic understanding of Python and who are ready to start learning more complicated topics. You’ll quickly improve your Python programming skills by using the command line and other professional Python tools.

Problem Solving with Algorithms and Data Structures using Python – In this book by Brad Miller and David Ranum of Luther College you will learn the importance of algorithms and data structures with Python and how they are used in computer science.

Learn More Python 3 The Hard Way – This book by Zed A. Shaw teaches various step-by-step approaches to solving common Python programming problems in the most efficient way possible.

Python Cookbook: Recipes for Mastering Python 3 – In this book, authors Brian K. Jones and David M. Beazley will teach you to program with Python through analyzing examples of problems, their solutions, and other practical examples of Python code written by other programmers.

Functional Programming in Python – This book by David Mertz provides a tour of Python’s features suitable for implementing programs in a functional style, as well as Python’s language features; iterators and generators, and library modules such as itertools and functools.

Python in Education – In this book, the author Nicholas H. Tollervey takes the reader through all of the features that make Python great for students, teachers, and the field of education.

A Whirlwind Tour of Python – This book by Jake VanderPlas offers a fast-paced introduction to Python, meant for readers who already know another programming language.

20 Python Libraries You Aren’t Using (But Should) – This book by Caleb Hattingh will guide you through some of the lesser-known but extremely useful Python programming resources.

Python Web Frameworks – This book by Carlos de la Guardia provides aspiring Python programmers and web developers with an enormous variety of useful web frameworks.

Advanced Machine Learning with Python – This book by John Hearty is meant for already experienced Python programmers and web developers who are looking to expand their knowledge. In this book, you will learn to resolve complex machine learning problems, to use Python code for implementing a range of machine learning algorithms and techniques, and go through a practical tutorial that tackles real-world computing problems through a rigorous and effective approach.

How to Make Mistakes in Python – This book by Mike Pirnat, meant for beginners to Python, goes over how to avoid and correct common errors made while coding.

Snake Wrangling for Kids – This book by Jason R. Briggs is an introduction to the basics of Python 3 meant for children over eight years old.

Natural Language Processing with Python – This book by Allen Downey is an introduction to computer science using the Python programming language, it covers the basics like including variables and values, functions, conditionals and control flow, program development, and debugging.

Programming Computer Vision with Python – In this book by Jan Erik Solem you will learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications all in Python by following clear examples of code.

Python For Kids – This book by Jason R. Briggs is an easy-to-follow guide for kids of any age to get interested in and start learning the Python programming language. Every bit of code is explained piece by piece and at the end of each chapter, there are puzzles for the reader to solve and practice their knowledge.

The Coder’s Apprentice – This book, written by Pietar Spronk, is aimed towards teaching teenagers and students all that there is to know to get started with programming with Python 3.

Sams Teach Yourself Python in 24 hours – This book, written by Katie Cunningham, will teach readers all the core concepts of the Python programming language in under 24 hours. Following a step-by-step approach, you will follow along starting with the most basic topics all the way until you are ready to program on your own.

The Quick Python Book – This book, written by Naomi Cedar, offers an easy-to-read guide of the Python programming language, as well as exercises to practice.

Building Machine Learning Systems with Python Second Edition – This book by Luis Pedro Coelho and Willi Richert is geared towards developers who want to learn and use Python’s machine learning capabilities to gain deeper insights from data.

Python Module of the Week – This website features the content of Doug Hellman’s The Python Standard Library by Example updated for Python 3.

Modeling Creativity: Case Studies In Python – This 2013 doctoral thesis by Tom De Smedt explores how creativity can be represented using computational approaches.

Think Complexity – This book by Allen B. Downey is geared towards intermediate-level Python programmers and will expand your Python skills by working with data structures and algorithms and exploring complexity science

High Performance Python: Practical Performant Programming for Humans  – Micha Gorelick and Ian Ozsvald wrote this excellent book which is a practical guide to performance increases that will help you gain a deeper understanding of Python’s implementation

Algorithmic Problem Solving with Python – This book by John B. Schneider, Shira Lynn Broschat, and Jess Dahmen uses Python to introduce readers to programming and algorithmic thinking. In addition to the downloadable PDF, check out the web version of the book and instructional videos that accompany the book here.

Python Data Science Handbook – Jake VanderPlas’s Python book will teach you how to use IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and more.

Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript – Harry Percival’s book teaches TDD methodology for web programming using the concrete example of the development of a website, from scratch.

Raspberry Pi Cookbook for Python Programmers – Simon Monk provides more than 200 practical recipes for running the Raspberry Pi with Linux and programming it with Python.

What You Need to Know About Python – In this book, author Pierluigi Riti outlines the absolute essentials you need to get Python up and running.

Supporting Python 3 – This book by author and Python developer Lennart Regebror guides you through the process of adding Python 3 and walks you through the hurdles of using Python. In addition to the pdf, the book is also available as a web version.

Programming for Non-Programmers – Steven F. Lott’s book is a great place to start to learn how to program in Python

Modern Python Cookbook – Steven F Lott’s book offers the latest in modern Python recipes for the busy modern programmer.

Python for Secret Agent – This fun book by Steven F Lott is great for Python beginners looking to learn the language through interesting projects.

Python for Secret Agents Volume II – Steven F Lott’s book will help you gather, analyze, and decode data to reveal hidden facts using Python.

Mastering Object-Oriented Python – This highly regarded book by Steven F Lott is targeted towards intermediate to advanced level Python programmers who have a high level of proficiency.

How to Think Like a Computer Scientist 3rd Edition – Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyer wrote this popular book that offers a comprehensive explanation of the Python language and important data structures in a well-structured, orderly, and concise way. You can also check out the Second Edition and the Interactive Edition.

Learning Python: Learn to code like a professional with Python – an open-source, versatile, and powerful programming language
 – Fabrizio Romano’s book starts with the fundamentals of programming and Python, continues by exploring GUIs, web apps, and data science, and ends with creating a fully-fledged application.

Think DSP: Digital Signal Processing in Python – Allen B. Downey’s book requires knowledge of core Python and basic mathematics and familiarity with object-oriented features. This book teaches how to use your programming skills to learn other things, and have fun while doing it.

The Python Apprentice – This book by Robert Smallshire and Austin Bingham is reviewed as an excellent, clearly written introductory Python book. Readers will learn the Python programming language and about the Python standard library, as well as how to integrate 3rd party libraries and develop libraries on their own, while becoming familiar with the basics of Python testing.

Intermediate Python – Muhammad Yasoob Ullah Khalid’s book won’t teach you Python from scratch, but instead discusses Intermediate level Python concepts.

Make Python Talk: Build Apps with Voice Control and Speech Recognition – Mark Liu’s fun book guarantees to take your Python skills to the next level through the process of building voice-controlled apps that are practical for everyday life. The book begins with a review of Python and an introduction to speech-recognition/text-to-speech functionalities, then moves into more advanced topics like building real working apps.

Fluent Python – In this hands-on book, author Luciano Ramalho teaches how to write effective, idiomatic Python code by leveraging its best features leading to a high level of proficiency.

Python Programming: An Introduction to Computer Science– This is the third edition of John Zelle’s popular Python Programming book. Reading this book is an effective way to learn to program in Python understand Computer Science as a whole.

Python Like You mean it – PLYMI is a web-based book written by Ryan Soklask that teaches the essential basics of Python & NumPy while emphasizing Python features that relate to STEM applications (data analysis, machine learning, numerical work, etc.).

Full Stack Python – This in-depth book by professional developer Matt Makai is great for those who have a solid understanding of Python and are ready to take their beginner skills to the next level by creating something tangible, like a web application, and using their knowledge to create fantastic Python-powered projects. The book explains concepts in a straightforward and easy-to-understand way and can be read for free online, but the pdf version is only available for a fee.

Program Arcade Games With Python and Pygame – Simpson College professor Paul Vincent Craven wrote this web-based book as a free resource to teach Python programming in a fun way.

Mastering Python – Rick van Hattem’s book will help you master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers.

Python Crash Course: a Hands-on, Project-based Introduction to Programming – This is the second edition of Eric Matthes’ best-selling book offering a fast-paced, no-nonsense guide to programming in Python. This second edition of Python Crash Course, the world’s best-selling guide to the Python programming language, is a thoroughly updated version that reflects the latest in Python code and practices.

Introduction to Computation and Programming Using Python – John V. Guttag, Professor of Computer Science and Electrical Engineering at MIT, wrote this book based on his highly popular MIT course / MOOC. This book is a good fit for students with no background in programming who want to learn valuable Python skills and make good use of the tools and techniques of “data science” for using computation to model and interpret data.

Starting out with Python Second Edition – This fantastic book by Tony Gaddis offers clear and detail-oriented instruction with easy-to-read code, lots of practical real-world examples, and exercises for practice. This textbook is perfect for beginners to accompany a semester Intro to Python course.

The Self-taught Programmer: The Definitive Guide to Programming Professionally – Cory Althoff is a self-taught programmer who works as a software engineer wrote this book not only to teach you to code but to guide you on your journey in programming, from the point of writing your first Python program to passing your first technical interview.

Introducing Python Modern Computing in Simple Packages – Bill Lubanovic’s book is perfect for beginning programmers as it teaches Python in an easy-to-understand and fun way, providing a strong foundation and including lots of practice, tutorials, and tips along the way.

Programming in Python 3 – A Complete Introduction to the Python Language Second Edition – Mark Summerfield, a computer scientist, professional programmer, and business owner wrote this book to teach readers how to code in Python and get the most out of this powerful programming language.

Python Without Fear A Beginner’s Guide That Makes You Feel Smart – Professional programmer Brian Overland’s book is the perfect guide to Python for intermediate level programmers, either those who have experience in other programming languages but are new to Python or those who are looking to take their Python to the next level. This book teaches Python in an enjoyable way, by solving interesting puzzles and games, and keeps the reader’s attention by always focusing on what works and the content that really matters.

Programming Python – Object Oriented Programming – Mark Lutz offers in-depth tutorials for those who have already mastered the fundamentals of Python. Readers will learn about the tools and libraries and gain a comprehensive understanding of the practical applications of Python in the real world.

Powerful Python: The most impactful patterns, features, and development strategies modern python provides – Aaron Maxwell wrote this book for experienced developers to teach intermediate and advanced strategies, patterns, and tools for Python.

Practices of the Programming Pro – This book by Dane Hillard, a web application developer, and Python pro, “teaches how to design and write professional-quality software that’s understandable, maintainable, and extensible”. Using helpful examples and exercises, he teaches how to create easy-to-read and use high-quality code with minimal complexity.

Structure and Interpretation of Computer Programs – This classic book by MIT professors Harold Abelson and Gerald Jay Sussman and Julie Sussman (Contributor) takes an advanced look into the subject of computer programming. It is considered a must-read not only for computer scientists and programmers but for designers and critical thinkers alike.

A Byte of Python – A Byte of Python is a free book on Python programming that serves as a tutorial or guide to Python for a beginner audience. If all you know about computers is how to save text files, then this is the book for you.

Automate the Boring Stuff with Python – This fantastic book by Al Sweigart teaches how to use Python to write programs that handle tedious and boring tasks (like renaming files and updating spreadsheets) that would normally drag on for hours on end in a matter of minutes. This is a super practical Python programming book aimed at readers with no prior programming experience, that will guide you step-by-step through each program and automation project. The book can be read on the website or by downloading the PDF.

Beyond the Basic Stuff with Python – This masterful book by Al Sweigart aims to bridge the gap between beginner and professional Python programming knowledge, by boosting your capabilities and building your confidence.

Building Skills in Python: A Programmer’s Introduction to Python – Steven F. Lott’s book begins with easy-to-understand concepts and slowly builds to include the entire Python language and all of the built-in data structures, using plenty of helpful exercises along the way to help it all sink in.

Python For Scientists and Engineers – This intermediate-level Python programming book requires some prior knowledge of coding and focuses on using Python in practical, real-world scenarios. The author, Shantnu Tiwari, has generously made his book available for free online, and readers can access the source code as well.

The Hitchhiker’s Guide to Python – This book, also available in print form for a price, is offered on this website as a handcrafted best practice handbook to help Python developers at all levels, from beginner to advanced. This is a helpful guide that will walk you through the installation, configuration, and usage of Python on a daily basis.

Core Python Applications Programming – This book written by Wesley J. Chun deals with the basic aspects of the Python programming language and gives in-depth explanations and guides to the core concepts.

Cheat sheets are a reliable resource to keep on hand when learning to code in Python. These quick reference documents feature shortcuts to straightforward information that feature concept summaries and syntax reminders that you can access at a glance. Cheat sheets are an essential go-to resource for beginner programmers, as well as a tried-and-true fallback for advanced developers. We have compiled a list of the best free Python cheat sheets that are useful for Python programmers at every stage of the learning curve.

Beginner’s Python Cheat Sheets by Eric Matthes – Eric Matthes originally developed these cheat sheets to accompany his book Python Crash Course. After realizing how helpful and useful they were as a resource for Python learners, he has since generously made them available for free resulting in millions of downloads! The download will include a bundle with a PDF with all the cheat sheets in one document, as well as a folder where each sheet is a separate document. He also provides a color version that is more visually appealing along with a black and white version for print.

PythonCheatSheet.org – This website offers a comprehensive cheat sheet for Python mostly based on the book Automate the Boring Stuff with Python by Al Sweigart and provides a basic reference for beginner and advanced developers. The site is geared towards not only helping newcomers to Python but to providing support to veteran programmers, as well.

Python Cheat Sheet by Mosh Hamedani – Mosh is a well-known software engineer, programming educator, and owner of the website Coding With Mosh. He created this cheat sheet based on the materials used in his Python tutorial for Beginners on his YouTube channel.

Cheat Sheets by DataQuest – DataQuest is a data learning platform that helps students acquire tech skills, achieve learning goals, and advance their careers. Here are some of the helpful cheat sheets that they offer:

1. Python Cheat Sheet for Data Science: Basics by DataQuest
2. Python for Data Science Cheat Sheet – Intermediate by DataQuest
3. Python NumPy Cheat Sheet by DataQuest
4. Python for Data Science: Pandas Cheat Sheet by DataQuest

Cheat Sheets by DataCamp – DataCamp, the online learning platform where students can learn programming and data skills, is a great resource for comprehensive cheat sheets. Here are some of the helpful cheat sheets that DataCamp offers:

1. Python For Data Science Python Basics Cheat Sheet by DataCamp
2. Importing Data in Python Cheat Sheet by DataCamp
3. Python Data Visualization: Bokeh Cheat Sheet by DataCamp
4. Python For Data Science SciPy Cheat Sheet by DataCamp
5. Python For Data Science Basics Cheat Sheet by DataCamp
6. Data Science Cheat Sheet for Business Leaders by DataCamp
7. Python For Data Science spaCy Cheat Sheet by DataCamp
8. Python For Data Science Seaborn Cheat Sheet by DataCamp
9. Python For Data Science Scikit-Learn Cheat Sheet by DataCamp
10. Python For Data Science PySpark SQL Basics Cheat Sheet by DataCamp
11. Python For Data Science Matplotlib Cheat Sheet by DataCamp
12. Python For Data Science Keras Cheat Sheet by DataCamp
13. Python For Data Science Jupyter Cheat Sheet by DataCamp
14. Python For Data Science Importing Data Cheat Sheet by DataCamp
15. Python For Data Science Data Wrangling in Pandas Cheat Sheet by DataCamp
16. Python For Data Science NumPy Cheat Sheet by DataCamp
17. Python For Data Science Bokeh Cheat Sheet by DataCamp
18. Python For Data Science Pandas Basics Cheat Sheet by Datacamp
19. Python For Data Science PySpark RDD Cheat Sheet from DataCamp

This list of Python programming FAQs contains every question and answer tied to the core concepts of the programming language that any programmer would ever need to know about. All together the FAQs contain hundreds of questions and answers that have proved to be useful to programmers all over the world.

1. General Python FAQ
2. Python Programming FAQ
3. Library and Extension FAQ
4. Python on Windows FAQ
5. Python Graphic User Interface FAQ
6. The Reddit /r/LearnPython FAQ

Dan Bader’s Weekly Email Newsletter for Python Developers – Dan Bader shares some of his best content in emails, so sign up to receive his weekly tips for Python Developers.

Real Python Email Newsletter Newsletter – Sign up to receive free weekly programming and career tips for Python Developers.

Python Weekly Email Newsletter – This free weekly newsletter promises to feature the best hand-curated news, articles, tools, resources, events, and more related to Python.

Pynative Email Newsletter – The Pynative newsletter covers information pertaining to Tutorials, Tips, Tricks, and Exercises every other week.

Pycoders Weekly Email Newsletter – This is a free, weekly e-mail newsletter about Python development, various Python-related topics, and the Python community.

The Python Software Foundation Newsletter – This bi-monthly newsletter is brought to you by The Python Software Foundation which is the organization behind Python and shares important community news.

Become a Better Developer Newsletter – MIT graduate and full-time Python trainer Reuven M. Lerner offers this free weekly “Better Developers” newsletter covering news about Python, software engineering, and related topics.

Discord Python Community – This large, active, and supportive Python programming community is a great place to get help with projects, learn, improve, collaborate and find friendships along the way.

Real Python Community – Real Python Community is an English-speaking community with thousands of members worldwide. They host regular live sessions and Q&As where you can meet fellow Python programmers to chat about your learning progress, ask questions, and discuss coding tips & tricks.

Full-stack Python Community – This community with tens of thousands of members all around the globe is a great resource for Python programmers of any skill level. Feel free to ask any Python-related questions during the frequent conferences with fellow developers, as well as participate in hackathons to practice your skills.

PythonistaCafe Community – PythonistaCafe is one of the best Python communities for new learners to receive the help they need to succeed in launching a career in Python. Members will benefit from interacting with Python professionals and hobbyists from all over the world and participating in frequent community events.

Python Community – The Python community by Python.org is a global community that welcomes members from everywhere and any background. This community can support both beginner and expert programmers in their journey with Python and help you to succeed in your journey with the programming language.