Metadata-Version: 2.3
Name: bm.probability-distributions
Version: 0.5.0
Summary: ### Boring Math Library - Visualize probability distributions
Keywords: probability distributions,distribution,sample data
Author-email: "Geoffrey R. Scheller" <geoffrey@scheller.com>
Requires-Python: >=3.12
Description-Content-Type: text/markdown
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Framework :: Pytest
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.13
Classifier: Typing :: Typed
Requires-Dist: pytest >=8.3.2 ; extra == "tests"
Project-URL: Changelog, https://github.com/grscheller/bm-probability-distributions/blob/main/CHANGELOG.md
Project-URL: Documentation, https://grscheller.github.io/boring-math-docs/probability-distributions
Project-URL: Source, https://github.com/grscheller/bm-probability-distributions
Provides-Extra: tests

# Boring Math Libraries - Probability distributions

Package to generate and visualize probability distributions.

Part of the "Boring Math" PyPI **bm** namespace for mathematical hobby
projects. A work-in-progress.

* **Repositories**
  * [bm.probability-distributions][1] project on *PyPI*
  * [Source code][2] on *GitHub*
* **Detailed documentation**
  * [Detailed API documentation][3] on *GH-Pages*

Distributions can be compared to either sample or population data. Package
originally derived from Udacity exercises.

## Continuous Distributions

* Normal (Gaussian): bm.probability-distributions.continuous.gaussian

## Discrete Distributions

* Binomial: bm.probability-distributions.discrete.binomial

---

[1]: https://pypi.org/project/bm.probability-distributions/
[2]: https://github.com/grscheller/bm-probability-distributions/
[3]: https://grscheller.github.io/boring-math-docs/probability-distributions/


