{
    "info": {
        "author": "Christine Turner",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "{\\rtf1\\ansi\\ansicpg1252\\cocoartf1561\\cocoasubrtf200\n{\\fonttbl\\f0\\fswiss\\fcharset0 Helvetica;}\n{\\colortbl;\\red255\\green255\\blue255;}\n{\\*\\expandedcolortbl;;}\n\\paperw11900\\paperh16840\\margl1440\\margr1440\\vieww10800\\viewh8400\\viewkind0\n\\pard\\tx720\\tx1440\\tx2160\\tx2880\\tx3600\\tx4320\\tx5040\\tx5760\\tx6480\\tx7200\\tx7920\\tx8640\\pardirnatural\\partightenfactor0\n\n\\f0\\fs24 \\cf0 Installation Instructions\\\n\\\npip is the recommended installer\\\n\\\n\t$ pip install simulatedistribution\\\n\\\nThere are no additional dependancies.\\\n\\\nRun module by\\\n\timport simulatedistribution\\\n\tsimulatedistribution.simulate(size, distribution, parameter1, parameter2)\\\n\\\nRecognised distributions are normal, poisson, and binomial\\\n}\n\n",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "",
        "keywords": "",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "simulatedistribution",
        "package_url": "https://pypi.org/project/simulatedistribution/",
        "platform": "",
        "project_url": "https://pypi.org/project/simulatedistribution/",
        "project_urls": null,
        "release_url": "https://pypi.org/project/simulatedistribution/1.2.0/",
        "requires_dist": [
            "numpy"
        ],
        "requires_python": "",
        "summary": "A function that generates samples from normal, Poisson or binomial distributions",
        "version": "1.2.0"
    },
    "last_serial": 3504325,
    "releases": {
        "1.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "14aa084871bc70bcde039d4727f5ef72",
                    "sha256": "1eac63bb3114b236e3c676ede90bb2f6d8bd9259b7694e0176cabb0b9781b6fa"
                },
                "downloads": -1,
                "filename": "simulatedistribution-1.2.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "14aa084871bc70bcde039d4727f5ef72",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 4212,
                "upload_time": "2018-01-19T12:14:11",
                "url": "https://files.pythonhosted.org/packages/4a/d7/534a9f5ed74cb6f8e1d71de312d301cd2a2398d9cf0abbc39c51f226ff8c/simulatedistribution-1.2.0-py2.py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "14aa084871bc70bcde039d4727f5ef72",
                "sha256": "1eac63bb3114b236e3c676ede90bb2f6d8bd9259b7694e0176cabb0b9781b6fa"
            },
            "downloads": -1,
            "filename": "simulatedistribution-1.2.0-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "14aa084871bc70bcde039d4727f5ef72",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 4212,
            "upload_time": "2018-01-19T12:14:11",
            "url": "https://files.pythonhosted.org/packages/4a/d7/534a9f5ed74cb6f8e1d71de312d301cd2a2398d9cf0abbc39c51f226ff8c/simulatedistribution-1.2.0-py2.py3-none-any.whl"
        }
    ]
}