The joy of coding Python, according to Guido van Rossum, should be in seeing short, concise, readable classes that express a lot of action in a small amount of clear code, not in reams of trivial code that bores the reader to death.
Python’s growing popularity and use in the industry make it one of the most popular programming languages to learn today.
Even though there are numerous resources for learning Python, such as reference books, video tutorials, and websites, you can also rely on GitHub to fulfill your desire to learn Python.
GitHub, with its vast code repertoire, does an excellent job of not only teaching you about Python but also of giving you hands-on experience with a source code management platform.
Python’s versatility makes it an obvious choice for a wide range of projects today. Python is well-liked by businesses all over the world, emphasizing its importance in the modern software industry.
Here is a top ten list of Github repo to learn python to check out this year.
This repo was created by Trn Tun Anh to give you a bird’s eye view of the repo awesome-python, taking inspiration from Fucking Awesome Go.
Trn’s repo contains essential information about awesome-python in the form of stars, forks, and links to each of the repositories mentioned, allowing you to quickly find the popular ones.
This repository Coding-problems contains an up-to-date collection of solutions to numerous coding and algorithmic problems encountered by new programmers while learning data structures and algorithms.
The author has perfectly structured the problems to make it easier for people to analyze the problem and its solution. Of course, that isn’t the only thing you’ll find in his repository.
You will also find some useful resources such as online courses (MOOCs), books, training websites, YouTube channels, and a slew of other resources that cover Python and provide solutions to a variety of issues that developers face when working with Python.
Full-speed-python, which was first released in March 2018 by Joo Ventura, is essentially a book that covers the fundamentals of Python as well as more advanced topics, with a strong emphasis on practical learning.
After explaining each topic, Joo attempts to solidify his readers’ understanding of the concepts by providing ample exercises. These exercises are critical in quickly bringing Python learners up to speed with Python syntax.
This GitHub repository contains resources for learning and teaching Python 3 at the beginner to intermediate levels. This repository’s contents are well-structured and in Jupyter Notebooks. To get you started, the beginner folder inside the notebooks folder contains 19 introductory topics such as strings, conditionals, classes, exceptions, and so on. For a complete list, we recommend visiting the repo.
The Algorithms/Python repository is one of the most starred and forked Python GitHub repo, and there’s a reason for that.
This repository contains algorithms and implementations for over 35 Python topics, including data structures, computer vision, linear algebra, neural networks, sorts, and strings, to name a few.
Keep in mind that understanding these algorithms necessitates at least a beginner’s level of Python knowledge, making this repository more appropriate for intermediate and advanced developers.
Learn-python repository is a collection of Python scripts that are split by topics and contain code examples with explanations, different use cases, and links to further readings.
Learn-Python3 is a repository that contains a collection of materials for teaching/learning Python 3 (3.5+).
This repository holds use cases that will guide you to play with the web, communicate with databases and work with documents.
Full-speed-python is a repository that aims to teach the Python programming language using a practical approach. Its method is quite simple: after a short introduction to each topic, the reader is invited to learn more by solving the proposed exercises.
These exercises have been used extensively in my web development and distributed computing classes at the Superior School of Technology of Setúbal. With these exercises, most students are up to speed with Python in less than a month. In fact, students of the distributed computing course taught in the second year of the software engineering degree, become familiar with Python’s syntax in two weeks and are able to implement a distributed client-server application with sockets in the third week.
Python_reference is a repository containing reference material for Python. It holds reference documentation, code snippets, cheatsheets, and other resources that provide quick access to information about it.
It is a great resource for Python developers to quickly look up information about the language, such as syntax for certain operations, common functions, or tips and tricks for more advanced programming concepts.
Coding-Problems is a repository that holds Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures in Python.
Conclusion: It is impossible to include every little thing that you’ll need to learn in one handy list, but we hope you find this list of repositories useful. They’re certainly only a fraction of the entire Python repository space (Something like 17 million projects were on GitHub as of 2015) but we think that this should be enough for now.
Here is a course in Python that you can learn