This repository compiles my study materials for Matplotlib, a core Python library for data visualization.
The contents are categorized according to the books and courses they were drawn from:

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

The goal here is to provide exposure to a wide set of Matplotlib functions and plotting techniques, collected from authoritative sources.
Please note: some functions showcased may now be deprecated, but they remain useful for understanding the evolution of the library.

This is a living repository. I plan to enrich it with additional materials as I encounter stronger or clearer explanations in future resources.
Currently, it reflects the resources that have contributed most to my learning.