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        "description": "# gabid package\n\nThis package implements the Gaussian and Binomial Distributions providing the following capabilities:\n* Compute the mean and standard deviation given a file with all the samples\n* Compute the pdf\n* Allows to add two of the kind\n\nFor Gaussian distribution only:\n* Plot histogram\n* Plot histogram pdf\n\nFor Binomial distribution only:\n* Plot bar\n* Plot bar pdf\n\n## Installation\n\nTo start using this package just type: `pip install gabid`\n\n## Files\n\nThis package provides three classes: `Distribution`, `Gaussian` and `Binomial`.\nThe `Distribution` class is only used to read all the values from a txt file and convert them into a list.\nBoth `Gaussian` and `Binomial` inherit from this class.\n\n## Quick start\n\nSee Gaussian example:\n\n```\ngaussian = Gaussian(25, 2)\ngaussian.read_data_file('numbers.txt') # numbers.txt is a txt with all the samples\ngaussian.calculate_mean() # to recompute mean according to the data in the txt\ngaussian.calculate_stdev() # to recompute standard deviation according to the data in the txt\ngaussian.pdf(25) # to compute the pdf of a value\n```\n\n## References\n\n### Used resources\n\n* [Gaussian Distribution](https://en.wikipedia.org/wiki/Normal_distribution)\n* [Binomial Distribution](https://en.wikipedia.org/wiki/Binomial_distribution)\n\n### Contributors\n\n* [Sara Garci](s@saragarci.com)\n\n## License\n\n\u00a9 Copyright 2019 by Sara Garci. All rights reserved.\n\n\n",
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