📱 Aider - AI-partner for programming with console interface

Aider got the top score on SWE Bench, a challenging benchmark in which Aider solved real-world problems on #GitHub from popular open source projects like #django, #scikitlearn, #matplotlib, etc.

🖥 GitHub

🟡 Docs

🌐 http://t.me/codeprogrammer

😍 New to AI agents?

This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agents:

⚡ Link: msft.it/6013qZ7Zb

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras

https://t.me/CodeProgrammer ✅

A Complete Course to Learn Robotics and Perception

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

github.com/gtbook/robotics

roboticsbook.org/intro.html

#Robotics #Perception #AI #DeepLearning #ComputerVision #RoboticsCourse #MachineLearning #Education #RoboticsResearch #GitHub

⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

Microsoft launched the best course on Generative AI!

The Free 21 lesson course is available on #Github and will teach you everything you need to know to start building #GenerativeAI applications.

Enroll: https://github.com/microsoft/generative-ai-for-beginners

https://github.com/microsoft/generative-ai-for-beginners

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.

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