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        "author": "Manish Sinha",
        "author_email": "masinha@microsoft.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
        ],
        "description": "==========================\nDask Azure Blob FileSystem\n==========================\n\nAzure Blob Storage Backend for Dask\n\n.. image:: https://travis-ci.org/manish/dask-azureblobfs.svg?branch=master\n    :target: https://travis-ci.org/manish/dask-azureblobfs\n\n.. image:: https://readthedocs.org/projects/dask-azureblobfs/badge/?version=latest\n    :target: https://dask-azureblobfs.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n\nFeatures\n--------\n\n* Supports dask when your data files are stored in the cloud.\n\n  * Import ``DaskAzureBlobFileSystem``\n\n  * Use ``abfs://`` as protocol prefix and you are good to do.\n\n* For authentication, please read more on Usage_.\n\n* Support for key-value storage which is backed by azure storage. Create an instance of ``AzureBlobMap``\n\n\nUsage\n-----\n\nMake the right imports::\n\n    from azureblobfs.dask import DaskAzureBlobFileSystem\n    import dask.dataframe as dd\n\nthen put all data files in an azure storage container say ``clippy``, then you can read it::\n\n    data = dd.read_csv(\"abfs://noaa/clippy/weather*.csv\")\n    max_by_state = data.groupby(\"states\").max().compute()\n\nyou would need to set your azure account name in environment variable ``AZURE_BLOB_ACCOUNT_NAME``\n(which in our above example is ``noaa``) and the account key in ``AZURE_BLOB_ACCOUNT_KEY``.\n\nIf you don't want to use account key and instead want to use SAS, set it in the\nenvironment variable ``AZURE_BLOB_SAS_TOKEN`` along with the connection string in the\nenvironment variable ``AZURE_BLOB_CONNECTION_STRING``.\n\nInstallation\n------------\n\nJust::\n\n    pip install dask-azureblobfs\n\nor get the development version if you love to live dangerously::\n\n    pip install git+https://github.com/manish/dask-azureblobfs@master#egg=dask-azureblobfs\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Usage: https://dask-azureblobfs.readthedocs.io/en/latest/usage.html\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2018-11-18)\n------------------\n\n* First release on PyPI.\n\n\n",
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        "keywords": "azureblobfs",
        "license": "MIT",
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        "name": "dask-azureblobfs",
        "package_url": "https://pypi.org/project/dask-azureblobfs/",
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