{"id":17581842,"url":"https://github.com/hot9cups/probdists","last_synced_at":"2025-10-23T14:57:28.811Z","repository":{"id":46032627,"uuid":"306642087","full_name":"hot9cups/probdists","owner":"hot9cups","description":"PyPi package for modelling Probability 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probdists\n\nPython package to model probability distributions.\u003cbr\u003e\nCurrently supports Gaussian, Gamma, Binomial, Bernoulli, Triangular, Uniform and Exponential Distributions.\n\n## Usage\nPlease see [usage](https://github.com/hot9cups/probdists/blob/main/USAGE.md)\n\n## Installation\n\nInstalling using pip:\n```\n\u003e\u003e\u003e pip install probdists\n```\n\nInstalling using virtual-environment(recommended):\n```\n\u003e\u003e\u003e conda create -n myEnv python=3.6 anaconda\n\u003e\u003e\u003e conda activate myEnv\n\u003e\u003e\u003e pip install probdists\n```\n\nYou can find the project on PyPi [here](https://pypi.org/project/probdists/)\n\n\n## Files\n\nThe main classes are inside the probdists folder\n-   [Generaldistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Generaldistribution.py) is the base class\n-   [Gaussiandistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Gaussiandistribution.py), [Binomialdistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Binomialdistribution.py), [Bernoullidistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Bernoullidistribution.py), [Gammadistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Gammadistribution.py), [Uniformdistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Uniformdistribution.py), [Triangulardistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Triangulardistribution.py) and [Exponentialdistribution.py](https://github.com/hot9cups/probdists/blob/main/probdists/Exponentialdistribution.py) are subclasses of Generaldistribution.py\n-   [numbers.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers.txt), [numbers_binomial.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers_binomial.txt), [numbers_bernoulli.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers_bernoulli.txt), [numbers_gamma.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers_gamma.txt), [numbers_uniform.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers_uniform.txt), [numbers_triangular.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers_triangular.txt) and [numbers_exponential.txt](https://github.com/hot9cups/probdists/blob/main/probdists/numbers_exponential.txt) are sample data files\n-   [tests.py](https://github.com/hot9cups/probdists/blob/main/test.py) contains unittests for the package\n\n## Licence\n\n[MIT Licence](LICENCE.txt)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhot9cups%2Fprobdists","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhot9cups%2Fprobdists","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhot9cups%2Fprobdists/lists"}