How to Get Normally Distributed Random Numbers With NumPy

This repository holds the code for the Real Python How to Get Normally Distributed Random Numbers With NumPy tutorial.

Dependencies

The scripts use NumPy, Matplotlib, and SciPy. You should first create a virtual environment:

$ python3 -m venv venv
$ source venv/bin/activate

You can then install the necessary packages with pip:

(venv) $ python -m pip install numpy matplotlib scipy

Alternatively, you can install from requirements.txt in order to get the same versions of dependencies that were used when developing and testing the code:

(venv) $ python -m pip install -r requirements.txt

Use only one of the pip install commands.

Run the Code

There are four scripts in this repository. The first three—normal_distribution.py, weights.py, and dice.py—show code discussed in the tutorial. The final script, plot_normal_dist.py, contains the code used to generate the first figure in the tutorial.

Each script can be run with python inside your virtual environment:

(venv) $ python normal_distribution.py

You can run the other scripts with a similar command.

Author

• Geir Arne Hjelle, E-mail: [email protected]

License

Distributed under the MIT license. See LICENSE for more information.