🔰 Python Functions

🔅 Building GitHub Bots

📝 Learn how to get GitHub to do your GitHub work for you.

🌐 Author: Manaswini Das
🔰 Level: Advanced
⏰ Duration: 2h 27m

📋 Topics: GitHub, Python

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📱Building GitHub Bots

🔰 2 Types of Pythonistas

🔅 Programming Foundations: Data Structures

📝 Learn how to effectively use and implement key data structures through hands-on exercises and real-world examples in Python.

🌐 Author: Kathryn Hodge
🔰 Level: Beginner
⏰ Duration: 2h 46m

📋 Topics: Data Structures, Python

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📱Programming Foundations: Data Structures

🔰 Important Pandas Methods for Data Science

🔗 LearnPython

🖥 Python Question / Quiz;

What is the output of the following Python code?

🔰 Arithmetic operations in numpy arrays

🔅 Creating AI Applications with Python and GitHub Models

📝 Learn how to create AI-powered applications from prototype to production using GitHub Models.

🌐 Author: Jonathan Fernandes
🔰 Level: Intermediate
⏰ Duration: 27m

📋 Topics: GitHub, Artificial Intelligence, Python

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📱Creating AI Applications with Python and GitHub Models

🖥 Python Question / Quiz;

What is the output of the following Python?

🔰 Take Screenshots using Python

🔅 Advanced Python - Classes and Functions

📝 Learn about the more advanced features of the Python language.

🌐 Author: Joe Marini
🔰 Level: Advanced
⏰ Duration: 2h 16m

📋 Topics: Python

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📱Advanced Python - Classes and Functions

🔰 Print or Logging? Know the difference.

print() is quick and simple — perfect for short-term debugging.
But when your project grows, logging is what keeps things under control.
It adds structure, severity levels, and persistent records.

Use print() for now. Use logging for when it matters.

🔅 Advanced Python: Working With Data

📝 Learn about the features of Python that can help you make sense of your data.

🌐 Author: Joe Marini
🔰 Level: Advanced
⏰ Duration: 2h 5m

📋 Topics: Data Management, Python

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