Free MIT course for beginners on the basics of computer science. These classic lectures cover concepts such as programming language design, abstraction, and recursion.

🔸 link: https://bit.ly/46zVDEy

👉  @python53

There is a repository on GitHub free-programming-books that contains over 4000 free books, 2000 courses, and other useful programming resources

For convenient searching, you can use this tool

This project is a vivid example of the power of the open source community, which evolved from a clone of a StackOverflow list into one of the most popular on GitHub ✌️

🔸 English-language version of the resources

👉 @codeprogrammer

Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

What you will learn :

The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.

⚡ tags: #python #datascience

🖥 By: https://t.me/Python53

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Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

⚡ tags: #python #datascience #ai

🖥 By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

🐍 10 Free Courses to Learn Python

👩🏻‍💻 These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!


1⃣ Comprehensive Python Course for Beginners

📃A complete video course that teaches Python from basic to advanced with clear and organized explanations.


2⃣ Intensive Python Training

📃A 4-hour intensive course, fast, focused, and to the point.


3⃣ Comprehensive Python Course

📃Training with lots of real examples and exercises.


4⃣ Introduction to Python

📃Learn the fundamentals with a focus on logic, clean coding, and solving real problems.


5⃣ Automate Daily Tasks with Python

📃Learn how to automate your daily project tasks with Python.


6⃣ Learn Python with Interactive Practice

📃Interactive lessons with real data and practical exercises.


7⃣ Scientific Computing with Python

📃Project-based, for those who want to work with data and scientific analysis.


8⃣ Step-by-Step Python Training

📃Step-by-step and short training for beginners with interactive exercises.


9⃣ Google's Python Class

📃A course by Google engineers with real exercises and professional tips.


1⃣ Introduction to Programming with Python

📃University-level content for conceptual learning and problem-solving with exercises and projects.

🌐 #DataScience #DataScience

✅ 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

📱 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.

Design Patterns in Java: Creational [EN]

🖥 By: https://t.me/Python53

⚡️ #java

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