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        "author": "Tom Gray",
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        "description": "# Prob Book [![Build Status](https://travis-ci.com/TomJamesGray/prob-book.svg?branch=master)](https://travis-ci.com/TomJamesGray/prob-book)\nInteractive python shell and jupyter notebook kernel\nto calculate probabilities for common statisitcal\ndistributions. Documentation can be found in the [Github wiki](https://github.com/TomJamesGray/prob-book/wiki)\n\n![Image of prob book's jupyter notebook kernel plotting the\nstandard normal distribution](jupyter_eg.png)\n\nCurrently the distributions implemented and the functions to define them are:\n* Normal - `N`\n* Exponential - `Exp`\n* Binomial - `B`\n* Poisson - `Po`\n* Geometric - `Geo`\n\n## Installation\n```\npip install prob-book\n# Then to install the jupyter kernel run\npython -m prob_book.install-kernel\n```\n\n## Use\nTo run the terminal version run the command `prob-book`\n\nTo use the jupyter kernel you can:\n* Start the notebook server by running `jupyter notebook` then select \"Prob Book\"\nfrom the new notebook menu\n* Run `jupyter console --kernel prob_book`\n\n## Examples\nCreate a standard normal distribution named X and compute P(X<2)\n```\n>>> X~N(0,1)\n>>> P(X<2)\n0.97725\n```\n---\nCreate a binomial distribution with 10 trials and a success probability\nof 0.3, then compute the probability there are 4 or fewer successes\n```\n>>> Y~B(10,0.3)\n>>> P(Y<=4)\n0.849732\n```\n\n## TODO\n* Implement help function for distributions, eg Help(Exp) will tell you the\nparameters for the Exponential dist\n\n\n",
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