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🖥 Вот 17 лучших репозиториев на GitHub для изучения Python с ссылками:

1. 30-Days-Of-Python (https://github.com/Asabeneh/30-Days-Of-Python) — 30-дневный челлендж по основам Python.
2. Python Basics (https://github.com/mikeckennedy/python-basics-exercises) — основы Python для новичков, просто и с примерами.
3. Learn Python (https://github.com/trekhleb/learn-python) — справочник с кодом, пояснениями и практическими примерами.
4. Python Guide (https://github.com/realpython/python-guide) — гайд по практикам, инструментам и сложным темам.
5. Learn Python 3 (https://github.com/jerry-git/learn-python3) — руководство по Python 3 с практическими заданиями для начинающих.
6. Python Programming Exercises (https://github.com/zhiwehu/Python-programming-exercises) — более 100 задач по Python.
7. Coding Problems (https://github.com/MTrajK/coding-problems) — алгоритмы и структуры данных для собеседований.
8. Project-Based-Learning (https://github.com/practical-tutorials/project-based-learning) — изучение Python через реальные проекты.
9. Projects (https://github.com/karan/Projects) — идеи проектов для улучшения навыков.
10. 100-Days-Of-ML-Code (https://github.com/Avik-Jain/100-Days-Of-ML-Code) — машинное обучение на Python шаг за шагом.
11. TheAlgorithms/Python (https://github.com/TheAlgorithms/Python) — алгоритмы и структуры данных на Python.
12. Amazing-Python-Scripts (https://github.com/aviaryan/amazing-python-scripts) — полезные скрипты: от утилит до автоматизации.
13. Geekcomputers/Python (https://github.com/geekcomputers/Python) — скрипты для работы с сетью, файлами и задачами.
14. Materials (https://github.com/realpython/materials) — код и проекты от Real Python.
15. Awesome Python (https://github.com/vinta/awesome-python) — лучшие фреймворки, библиотеки и ресурсы.
16. 30-Seconds-of-Python (https://github.com/30-seconds/30-seconds-of-python) — короткие сниппеты для быстрого решения задач.
17. Python Reference (https://github.com/rasbt/python_reference) — скрипты, туториалы и полезные советы.

#python #github #learning
@Python_Community_ru



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🖥 Вот 17 лучших репозиториев на GitHub для изучения Python с ссылками:

1. 30-Days-Of-Python (https://github.com/Asabeneh/30-Days-Of-Python) — 30-дневный челлендж по основам Python.
2. Python Basics (https://github.com/mikeckennedy/python-basics-exercises) — основы Python для новичков, просто и с примерами.
3. Learn Python (https://github.com/trekhleb/learn-python) — справочник с кодом, пояснениями и практическими примерами.
4. Python Guide (https://github.com/realpython/python-guide) — гайд по практикам, инструментам и сложным темам.
5. Learn Python 3 (https://github.com/jerry-git/learn-python3) — руководство по Python 3 с практическими заданиями для начинающих.
6. Python Programming Exercises (https://github.com/zhiwehu/Python-programming-exercises) — более 100 задач по Python.
7. Coding Problems (https://github.com/MTrajK/coding-problems) — алгоритмы и структуры данных для собеседований.
8. Project-Based-Learning (https://github.com/practical-tutorials/project-based-learning) — изучение Python через реальные проекты.
9. Projects (https://github.com/karan/Projects) — идеи проектов для улучшения навыков.
10. 100-Days-Of-ML-Code (https://github.com/Avik-Jain/100-Days-Of-ML-Code) — машинное обучение на Python шаг за шагом.
11. TheAlgorithms/Python (https://github.com/TheAlgorithms/Python) — алгоритмы и структуры данных на Python.
12. Amazing-Python-Scripts (https://github.com/aviaryan/amazing-python-scripts) — полезные скрипты: от утилит до автоматизации.
13. Geekcomputers/Python (https://github.com/geekcomputers/Python) — скрипты для работы с сетью, файлами и задачами.
14. Materials (https://github.com/realpython/materials) — код и проекты от Real Python.
15. Awesome Python (https://github.com/vinta/awesome-python) — лучшие фреймворки, библиотеки и ресурсы.
16. 30-Seconds-of-Python (https://github.com/30-seconds/30-seconds-of-python) — короткие сниппеты для быстрого решения задач.
17. Python Reference (https://github.com/rasbt/python_reference) — скрипты, туториалы и полезные советы.

#python #github #learning
@Python_Community_ru

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