NumPy Learning Journey

This repository contains my hands-on practice and notes while learning NumPy, one of the most powerful Python libraries for numerical computing.

📘 About

I created this notebook to explore and understand:

• Creating and manipulating NumPy arrays

• Array indexing and slicing

• Mathematical operations and broadcasting

• Useful NumPy functions

• Real-world examples and small challenges

📂 File

numpyTutorial.ipynb — Jupyter Notebook covering all the topics I learned.

🚀 How to View

You can view the notebook directly on GitHub, or open it in Jupyter Notebook/VS Code by running:

jupyter notebook numpyTutorial.ipynb

🧠 What I Learned

• The difference between Python lists and NumPy arrays

• Vectorization and speed benefits of NumPy

• Performing statistical and mathematical operations efficiently

• How broadcasting works for operations between arrays of different shapes

📚 Tools Used

• Python 3

• Jupyter Notebook

• NumPy