Python Courses & Resources

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📱 Design Patterns in Java: Creational [EN] 🎓 What will you learn? Learn the main creational design patterns in Java. You will find out when to apply each of the five patterns defined by the "Gang of Four," how they help in architecture, and how to avoid their pitfalls. The course will improve your development skills and increase the readability of your code for the team.

🔅 Data Science Foundations: Data Mining in Python 🌐 Author: Barton Poulson 🔰 Level: Intermediate ⏰ Duration: 3h 3m 🌀 Learn the key concepts and skills behind one of the most important elements of data science: data mining. 📗 Topics: Data Mining, Python

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

🔥 A huge collection of the 17 best GitHub repositories for learning Python. Perfect for those who want to level up from print('Hello') to advanced projects. 😰 Let's go: 1. 30-Days-Of-Python — a 30-day Python challenge covering the basics of the language. 2. Python Basics — simple and clear Python basics for beginners. 3. Learn Python — a topic-based guide with examples and code. 4. Python Guide — best practices, tools, and advanced topics. 5. Learn Python 3 — an easy-to-understand guide to Python 3 with practice. 6. Python Programming Exercises — 100+ Python exercises. 7. Coding Problems — algorithmic problems, perfect for interview prep. 8. Project-Based-Learning — learn Python through real projects. 9. Projects — ideas for practical projects and skill improvement. 10. 100-Days-Of-ML-Code — a step-by-step guide to Machine Learning in Python. 11. TheAlgorithms/Python — a huge collection of algorithms in Python. 12. Amazing-Python-Scripts — useful scripts from automation to advanced utilities. 13. Geekcomputers/Python — a collection of practical scripts: networking, files, automation. 14. Materials — code, exercises, and projects from Real Python. 15. Awesome Python — a top list of the best frameworks and libraries. 16. 30-Seconds-of-Python — short snippets for quick solutions. 17. Python Reference — life hacks, tutorials, and useful scripts. 👍 Save this so you don't have to search again. #python #doc #github #soft

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