https://github.com/jorenham/hall

Probability and statistics in pure python with intuitive syntax
https://github.com/jorenham/hall

maths probability probability-theory python science

Last synced: 8 months ago
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Probability and statistics in pure python with intuitive syntax

• Host: GitHub
• URL: https://github.com/jorenham/hall
• Owner: jorenham
• License: bsd-3-clause
• Created: 2021-06-30T22:55:23.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-03-20T18:40:34.000Z (over 2 years ago)
• Last Synced: 2025-03-18T15:55:03.172Z (over 1 year ago)
• Topics: maths, probability, probability-theory, python, science
• Language: Python
• Homepage: https://pypi.org/project/hall/
• Size: 1.16 MB
• Stars: 7
• Watchers: 3
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.md
  • License: LICENSE
  • Roadmap: docs/roadmap.md

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README

          

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Probability theory using pythonic and (almost) mathematical notation.

## Help

See [documentation](https://jorenham.github.io/hall/) for more details.

## A simple example: Intelligence quotient

```pycon

>>> from hall import P, E, Std, Normal, sample

>>> IQ = ~Normal() * 100 + 15

>>> E[IQ]

100.0

>>> Std[IQ]

15.0

>>> P(IQ >= 130)

0.0227501319481792

>>> print("IQ test outcome:", sample(IQ))

IQ test outcome: 116.309834872963

```

So the chance of having an IQ (normally distributed with μ=100 and σ=15) of at

least 130 is approximately 2.3%.

## A simple example: Monty ~~Python~~ Hall

`TODO`

## Contributing

For guidance on setting up a development environment and how to make a

contribution to *hall*, see

[Contributing to hall](https://jorenham.github.io/hall/#contributing).