In this NumPy Tutorial , you will learn how to generate random numbers in Python using NumPy's

Published: 22 January 2026
on channel: Beast Coding

Master Random Number Generation in Python using NumPy! 🎲

Welcome to part two of our NumPy series! In this tutorial,
we dive into the powerful Random Number Generator (RNG).
Learn how to initialize weights for neural networks, sample from probability distributions, and shuffle data like a pro.

What You Will Learn:
✅ The Modern Way: Setting up the Default RNG object [00:53].
✅ Neural Network Prep: Creating random weight matrices between 0 and 1 [01:13].
✅ Statistical Sampling: Generating Standard Normal distributions [02:01].
✅ Integer Generation: Randomly picking numbers within a range [02:27].
✅ Data Shuffling: The difference between shuffle (in-place) and permutation [03:50].
✅ Axis Control: Shuffling specifically by rows or columns [04:22].

Whether you're building Machine Learning models or simulations, mastering NumPy's random module is essential.

[00:00] - Introduction: Applications of Random Numbers
[00:53] - How to create a Default RNG Object
[01:13] - Creating 3x3 Random Matrices (0 to 1)
[02:01] - Generating Standard Normal Samples
[02:27] - Generating Random Integers in a Range
[02:49] - Using rng.choice to pick random elements
[03:50] - How to shuffle an array in-place
[04:05] - permutation vs shuffle explained
[04:22] - Shuffling by Axis (Rows vs Columns)

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