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After mastering Python foundations, the best way to consolidate knowledge is to build projects. But thanks to the huge ecosystem Python it can be overwhelming to know where to start.
GitHub repositories appear here, provide direct links to real projects in the field of data learning, automation, machine learning, web and other creation. These collections often contain tutorials, guides and source code, so you can follow, learn and even start the original code if you get stuck.
GitHub repositories for Python Projects
1. The final center based on Python Learning projects
To combine: Practical-WIORY/TRANSMISSION Based on projects
This is the most popular GitHub repository, with over 234,000 stars. It contains a comprehensive list of tutorials based on projects for different programming languages, including Python. Ideal for students who want to build real designs and learn by doing.
2. Endless ideas and resources of the Python project
To combine: Olol codes/i-deas-i-ateas-i-resources
A collection of application ideas and resources to support you improve coding skills. Ideal to find inspiration and challenge up-to-date project concepts.
3. Real Python learning materials
To combine: Realtython/Materials
If you are a fan of the real Python page, you will love this repository. It contains additional materials, exercises and examples of Python’s real tutorials. Ideal for anyone who follows the educational content of a real Python and is looking for practical exercises.
4. Specialized project tutorials for each student
To combine: Learning based on the XTREMICIOUS/PROJECTLEARN project
A specialized list of project tutorials focused on learning projects. It covers a wide range of topics and is ideal for students who want to build during learning. If you scroll down, you will find the AI/Machine Learning section, which contains mainly Python projects with descriptions.
5. Awesome jupyter: notebooks, libraries and more
To combine: Markusschanta/Awesome-Jupyter
If you like to work with Jupyter notes, you will find a list of amazing projects, libraries and Jupyter resources. It will support you improve how to exploit Jupyter notebooks, explore the extensions and discover other Python packages to improve work flow.
6. Python mini-projects to get quick winnings
To combine: Ndleah/python-mini-project
As a beginner, you don’t have to start with building AI or intricate projects. You can always start with a mini-game. This repository contains Kłęa -size designs that can be built and tested in one day without any problems.
7. 100 Practical projects
To combine: ARPIT -MPRAKASH/100PROJECTSOFCODE
A list of 100 practical knowledge that builds knowledge. This is a repository in the style of challenges, which means that every time you build a project, you mark it as you do. It follows your progress and helps Python learning in various categories, such as artificial intelligence, games, applications, bots, network and many others.
8. Scientific projects for Python enthusiasts
To combine: VEB-101/Data-SCIENCE PROJECTS
A collection of scientific projects in Python. It contains a list of popular and general projects that will support you go to more intricate and advanced topics. It’s a great way to learn the basics faster.
9. Python’s amazing projects
To combine: Garimasingh128/Awesome-Python-Projek
Presentation of amazing Python projects. It is equipped with guides, resources and tutorial links. This is an ideal repository if you are a beginner Python.
10. Python script projects from beginners to advanced
To combine: Larymak/Python-Project-Scricts
Python script repository, starting with the level of beginners and gradually developing. Ideal for increasing learning and discovering code fragments. It will also support automate workflow and build computer applications and online applications based on GUI. Perfect for pets projects.
Application
Python stands out as one of the most popular programming languages in the world and for a reason. Its uncomplicated, legible syntax makes it available to beginners, and its power and flexibility attract experienced programmers as well as scientists from data. By studying the best GitHub repositories emphasized in this article, you take a significant step towards building a powerful wallet and mastering one of the most popular technology skills.
Abid Ali Awan (@1abidaliawan) is a certified scientist who loves to build machine learning models. Currently, it focuses on creating content and writing technical blogs on machine learning and data learning technologies. ABID has a master’s degree in technology management and a bachelor’s title in the field of telecommunications engineering. His vision is to build AI with a neural network for students struggling with mental illness.