This repository contains all the NumPy resources I’ve collected and used for learning.
The materials are organized into folders based on their source:

• Folder 1 → From Python Data Science Handbook by Jake VanderPlas
• Folder 2 → From Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
• Folder 3 → From Krish Naik’s Machine Learning Course

I’ll keep updating this repository whenever I come across better or more useful resources.
These are the ones I’ve used so far in my NumPy learning journey.