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        "author_email": "elessarelfstone@mail.ru",
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            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: System :: Archiving"
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        "description": "Advarchs: Data retrieval from remote archives\n=============================================\n\n.. image:: https://img.shields.io/pypi/v/advarchs.svg\n   :target: https://pypi.python.org/pypi/advarchs\n   :alt: PyPI Version\n\n.. image:: https://img.shields.io/pypi/pyversions/advarchs.svg\n   :target: https://pypi.python.org/pypi/advarchs\n   :alt: Supported Python Versions\n\n.. image:: https://img.shields.io/travis/elessarelfstone/advarchs/master.svg\n   :target: https://travis-ci.org/elessarelfstone/advarchs\n   :alt: Build Status\n\n.. image:: https://img.shields.io/badge/wheel-yes-brightgreen.svg\n   :target: https://pypi.python.org/pypi/advarchs\n   :alt: Wheel Status\n\nOverview\n--------\nAdvarchs is simple tool for retrieving data from web archives.\nIt is especially useful if you are working with remote data stored in compressed\nspreadsheets or of similar format.\n\nGetting Started\n---------------\n\nSay you need to perform some data anlytics on an excel spreadsheet that gets\nrefreshed every month and stored in RAR format. You can target a that file\nand convert it to a pandas_ dataframe with the following procedure:\n\n.. code-block:: python\n\n    import pd\n    import os\n    import tempfile\n    from advarchs import webfilename,extract_web_archive\n\n    TEMP_DIR = tempfile.gettempdir()\n\n    url = \"http://www.site.com/archive.rar\"\n    arch_file_name = webfilename(url)\n    arch_path = os.path.join(TEMP_DIR, arch_file_name)\n    xlsx_files = extract_web_archive(url, arch_path, ffilter=['xlsx'])\n    for xlsx_f in xlsx_files:\n        xlsx = pd.ExcelFile(xlsx_f)\n\n    ...\n\nRequirements\n------------\n\n- ``Python 3.5+``\n- ``p7zip``\n\nSpecial note\n~~~~~~~~~~~~\n\nOn CentOS and Ubuntu <= 16.04, the following packages are needed:\n\n- ``unrar``\n\nInstallation\n------------\n\n.. code-block:: shell\n\n    pip install advarchs\n\nContributing\n------------\nSee `CONTRIBUTING`_\n\nCode of Conduct\n~~~~~~~~~~~~~~~\nThis project adheres to the `Contributor Covenant 1.2`_.\nBy participating, you are advised to adhere to this Code of Conduct in all your\ninteractions with this project.\n\nLicense\n-------\n\n`Apache-2.0`_\n\n.. _`pandas`: https://pypi.org/project/pandas/\n.. _`CONTRIBUTING`: https://github.com/elessarelfstone/advarchs/blob/master/CONTRIBUTING.md\n.. _`Contributor Covenant 1.2`: http://contributor-covenant.org/version/1/2/0\n.. _`Apache-2.0`: https://github.com/elessarelfstone/advarchs/blob/master/LICENSE\n",
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        "keywords": "archive,transfer,zip,rar,advarchs",
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