NumPy Essentials: A Practical Notebook for Data Analysts using Jupyter Notebook

🧠 NumPy Beginner's Guide – Master Data Analysis Basics with Python!

Get started with NumPy, the core Python library for data analysis and scientific computing. This beginner-friendly guide covers everything you need to know to build a solid foundation in NumPy — all explained in a simple and practical way using Jupyter Notebook.

📚 What you’ll learn:

• NumPy Arrays (1D & 2D)
• Array indexing & slicing
• Mathematical operations
• Broadcasting
• Useful NumPy functions & tips

🎁 Included:

• Jupyter Notebook (.ipynb file)

Perfect for students, data science beginners, and Python enthusiasts!