Documentation for: https://pypi.org/project/stats-tm/
Github link: https://github.com/tmtsmrsl/stats_tm

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API reference for available classes:
• BinomialDist
• PoissonDist
• NormalDist
• StudentTDist

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Installation:
pip install stats-tm

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Requirements:
-mpmath
-numpy
-plotly

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Example usage:
from stats_tm import distribution
binom = distribution.BinomialDist(n=20, p=0.4)
binom.calc_cum_p(k=8)

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Demonstration:
Notebook:
Google Colab

Video (including code explanation):