grscheller-courses-distributions 0.1.1

Module of classes representing various probability distributions

grscheller-courses-distribution PyPI Package

Probability distribution classes based on an exercise from Udacity's Python for AI course.

Probability distributions completed so far

• class Gaussian from the grscheller_courses_distributions.gaussian module
• class Binomial from the grscheller_courses_distributions.binomial module

Factoids

• developed using both Python 3.12.4 and 3.10.13 (used by Udacity)
  • Udacity just upgraded the Python they use from 3.6.3 in June 2024
  • 3.6.3 was version of Python out when PyTorch was released in 2016
  • annotations would not have been usable for Python 3.6.3
• using __future__ statement to import annotations
  • for use by Python std library typing module
  • annotations targeted for Python 3.13.X
• will eventually incorporate this work into grscheller.boring-math package

Testing

The testing suite is in the GitHub clone, it is not installed with the package.

To kick off all tests,

   $ pytest tests/`

So that the test data is found, run the tests from the root of the clone of the GitHub repo.

Documentation

See: documentation

Source Code (GitHub)

See: source code

License Summary

Apache v2.0 License

See LICENSE for license details and NOTICE for copyright details.