NumPy Tutorial in One Shot 🚀 | Complete NumPy Course for Beginners

Unlock the power of NumPy, the most essential Python library for Data Science, Machine Learning & Analytics!
In this ONE SHOT full NumPy tutorial, I teach everything from the absolute basics to the most important functions that every beginner, student, and data science learner must know.

00:00 Introduction
02:05 How NumPy arrays are efficient than regular lists
05:15 Installing and importing NumPy in vs code
06:11 How to create 1D Array
08:19 Creating Matrix/2D Array
11:20 Creating Zeros, ones and custom arrays
15:12 arange() and linespace() function
20:01 Reshape NumPy array
23:30 Flatten your matrix
24:14 Transpose Matrix
25:00 Stacking in NumPy
28:30 Concatenate Matrices / Arrays
29:16 Splitting the array
31:41 Slicing and indexing on matrices and arrays
38:18 Reverse the array
38:58 Boolean indexing and fancy indexing
41:14 Element wise operations
43:15 Aggregation functions
44:52 Universal functions
47:09 Linear algebra functions
48:31 Random number functions
51:42 Dealing with missing values
53:40 Outro


Whether you are:
✔️ A complete beginner in Python
✔️ A student preparing for Data Science
✔️ A data analyst aspirant
✔️ Someone who wants to master numerical computing

This one video is enough to take you from 0 to Pro in NumPy!

📌 What You Will Learn:
What is NumPy and why it’s important
Creating arrays (1D, 2D, 3D)
Array operations & broadcasting
Slicing, indexing & reshaping
Mathematical operations
Statistical functions
Random module
Real-world examples used in Data Science
Hands-on demos

This is a complete NumPy crash course designed to simplify learning for beginners with clear, practical explanations.

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