Numpy.random

[Programming for Data Analysis Module GMIT 2020]

The repository contains an investigation into the numpy.random package. It explains:

• the package purpose,
• the use of “Simple random data” and “Permutations” functions,
• the use and purpose of 8 “Distributions” functions,
• the use of seeds in generating pseudorandom numbers.

Submitted by: Olga Rozhdestvina (Student No: G00387844)

Lecturer: Brian McGinley

Programming Language used: Python

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Set up

Applications used for completion of the assignment: The Jupyter Notebook and cmder

Python distribution: Anaconda Python distribution.

Libraries used in the Jupyter Notebook: NumPy, Matplotlib, Seaborn. All of these are installed with the Anaconda Python distribution.

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How to run the code

1. Make sure that you have Python installed
2. Download or clone current repository "numpy.random"
3. Open Command Interpreter and get into correct directory
4. Run Jupyter notebook
5. On the home page of opened Jupyter server select Numpy.random.ipynb

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License

This project is licensed under the MIT License - see the LICENSE.md file for details