NumPy Random

This repository demonstrates how to use the numpy.random module to generate random numbers and work with different probability distributions in Python.

Features

• Generate random integers and floating-point numbers
• Create random arrays and matrices
• Use normal, binomial, and Poisson distributions
• Shuffle arrays and select random samples

Installation

1. Clone this repository:

   git clone https://github.com/your-username/numpy-random-practice.git
   cd numpy-random-practice

2. (Optional) Create and activate a virtual environment:

   python -m venv venv
   # Windows
   venv\Scripts\activate
   # macOS/Linux
   source venv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

Usage

Run any Python file to see the examples in action:

python random_basic.py
python random_distribution.py
python random_exercises.py

Feel free to modify the code to explore more random number features.

Requirements

• Python 3.x
• NumPy

Author

Created by Usama Israr Khan

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Happy coding! 🚀