Python NumPy Tutorial for Beginners: Complete Guide with Examples

Welcome to this complete Python NumPy tutorial! Whether you're a beginner or looking to refresh your skills, this video will guide you through everything you need to know about NumPy, the foundational library for numerical computing in Python.

In this tutorial, you'll learn:
✅ What is NumPy and why it's essential for data science and machine learning
✅ How to create and manipulate NumPy arrays
✅ Array operations, indexing, slicing, and reshaping
✅ Advanced concepts like broadcasting, vectorization, and working with missing data

By the end of this video, you'll have a solid understanding of NumPy and be ready to use it in your own projects.

Timestamps:
0:00 - Introduction to NumPy
2:15 - Installation and Setup
4:30 - Creating NumPy Arrays
8:45 - Array Attributes and Data Types
12:10 - Array Creation Routines (zeros, ones, arange, linspace)
16:20 - Random Arrays
19:30 - Arithmetic Operations and Aggregation Functions
24:00 - Broadcasting
27:45 - Indexing and Slicing
32:10 - Reshaping and Manipulating Arrays
36:50 - Advanced NumPy (Vectorization, Missing Data, Saving/Loading Arrays)
41:00 - Conclusion and Next Steps

Resources:

NumPy Documentation

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[PrateekGhosh-gc]

Sir, do pandas as well .. in one shot ..