This repository is dedicated to my NumPy learning journey. It contains examples, exercises, and notes that cover the core concepts of NumPy, the fundamental Python library for scientific computing.
- ✅ Introduction to NumPy
- ✅ Creating & manipulating arrays
- ✅ Array indexing and slicing
- ✅ Mathematical & statistical functions
- ✅ Broadcasting and vectorization
- ✅ Linear algebra with NumPy
- ✅ Random number generation
- ✅ Practical exercises & mini-projects
This repo is a collection of my hands-on practice with NumPy. It will help me (and others) understand:
- How NumPy arrays work
- How to perform efficient numerical computations
- How to use NumPy as a foundation for Data Science & Machine Learning