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With Artificial Intelligence, Data Science, and similar technologies advancing rapidly, there is always a pressing need for skilled Python developers. Throughout this article, we talked about the various GitHub repositories which you can use to learn Python, keeping in mind the skill levels of various developers across the globe. Regardless of your experience with Python, we hope you’ll find these GitHub repositories useful in your learning, for which we wish you good luck.

One of the key differences between Cicero and OSM is a community of contributors. Community is what makes OSM special. Without it, the project is “default dead,” as they say in Silicon Valley. Much like elected official information, map data goes stale fairly quickly and therefore requires constant life support.

First released in March 2018 by João Ventura, full-speed-python is essentially a book that covers the fundamentals of Python along with more advanced topics with a significant emphasis on practical learning. After explaining each topic, João tries to solidify the understanding of the concepts by presenting his readers with sufficient exercises. These exercises play a crucial role in bringing Python learners up to speed with Python’s syntax in a short period.

The author has structured the problems perfectly to make it easier for individuals to analyze the problem and its solution. But of course, that’s not the only thing you’ll find in his repo. You’ll also find some valuable resources like online courses(MOOCs), books, training websites, YouTube channels, and a bunch of other resources that cover Python and solutions to a host of problems developers encounter while working with Python.

The name Python Reference says it all. Unlike other repositories that focus on providing useful Python tutorials for a seamless learning experience, the python reference repo is more of a collection of various Python topics for intermediate developers. Although we recommend you take a look at the repo for the specifics, a brief overview of the contents of the repo is below:

Coding-problems contains an updated collection of solutions to numerous coding and algorithmic problems that new programmers face while learning data structures and algorithms. Meto has covered the solutions for problems from various topics and has categorized them into arrays, linked lists, dynamic programming, math, and a few more categories.

Similar to learn-python3, learn-python repository also serves as a handy collection of Python resources for beginners and intermediate learners. The repository uses a collection of Python scripts to cover individual topics in Python, such as operators, data types, classes, modules, and much more, with precise explanations and accompanying examples.

This GitHub repo contains resources for learning and teaching beginner to intermediate-level Python 3. The contents of this repo are very well structured and in Jupyter Notebooks. The beginner folder inside the notebooks folder contains 19 introductory topics such as strings, conditionals, classes, exceptions, and so, to get you started. We recommend taking a look at the repo for the full list.

Once you start following this approach, you’ll be able to cover the entirety of this Python book within a month or two, tops. The repo contains the files you will need to build the book for yourself, or you can simply download the book from his repo, the download links are available there.

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ing that please don’t leave anything for “One Day…”. One day I shall connect with the people I love. One day I shall wear that dress I have been saving. One day I will make a special meal for my spouse. One day we shall have a date night. These ‘One days….’ have a way of disappearing into oblivion. Remember, there is no turning back the clock. There are many a stories that can illustrate my point and I will not take up your time with that.

If you have already mastered the basics of Python, then this repo might be suitable for you to help you understand a host of advanced topics. The repo provides Jupyter Notebooks for various topics, such as useful regular expressions, Cython with and without IPython, and many more like it, while giving you the flexibility to edit and run the code as you wish.

The rest of the advanced topics are provided in the intermediate folder, such as writing idiomatic Python, a few other general topics, and some best practices to help you avoid writing disastrous and inefficient code. Not to mention, each topic in the repo does come with plenty of sample code for you to analyze thoroughly, along with exercises to help you track your progress.

Claire D. is a Content Crafter and Marketer at Digitalogy — a tech sourcing and custom matchmaking marketplace that connects people with pre-screened