NUMPY AND PYTHON FOR ABSOLUTE BEGINNERS IN THE AI AGE

Chapter 1: Introduction to NumPy
Chapter 2: NumPy Arrays in Depth
Chapter 3: Mathematical Operations with NumPy
Chapter 4: Working with Multidimensional Arrays
Chapter 5: Random Numbers and Simulations in NumPy
Chapter 6: NumPy for Machine Learning
Chapter 7: Advanced NumPy Features
Chapter 8: Performance and Optimization
Chapter 9: Integrating NumPy with Other Libraries
Chapter 10: Real-World Projects with NumPy
Chapter 11: NumPy in Artificial Intelligence
Chapter 12: Time Series Analysis with NumPy
Chapter 13: Handling Large Datasets
Chapter 14: Testing and Debugging NumPy Code
Chapter 15: Future of NumPy and Final Thoughts
Chapter 1: Welcome to Python in the AI Age
Chapter 2: Python Basics Made Easy
Chapter 3: Making Decisions with Code
Chapter 4: Loops That Make Life Easier
Chapter 5: Collections of Data
Chapter 6: Writing Your Own Functions
Chapter 7: Errors, Debugging & ChatGPT as a Python Helper
Chapter 8: Files and Folders with Python
Chapter 9: Automate Everyday Tasks
Chapter 10: Using APIs to Talk to the Internet
Chapter 11: Python Meets AI & Machine Learning
Chapter 12: Build Your Own Chatbot
Chapter 13: Data Visualization Made Simple
Chapter 14: Final Capstone Project
Chapter 15: What's Next? Leveling Up as a Python Programmer

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