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        "description": "dtim\n====\n\ndtim -- Python DateTime IMprovement\n\n.. image:: https://badge.fury.io/py/dtim.svg\n    :target: https://badge.fury.io/py/dtim\n.. image:: https://travis-ci.org/cuonglm/dtim.svg?branch=master\n    :target: https://travis-ci.org/cuonglm/dtim\n\nInstallation\n============\n\n.. code:: sh\n\n    pip install dtim\n\nWhy dtim\n========\n\nPython standard datetime.datetime is awesome, but lack some of common\nmethods like computing timestamps, checking naive, aware datetime\neasily.\n\ndtim comes in for simplification.\n\nNOTE\n====\n\nI wrote `dtim` before I know maya_\n\nYou should use it, it's great.\n\n.. _maya: https://github.com/kennethreitz/maya\n\nUsage\n=====\n\n.. code:: python\n\n    from dtim import DateTime\n\n\n    dt = DateTime.now()\n\n    # Number of seconds since epoch\n    print dt.epoch()\n\n    # Check datetime is naive\n    print dt.is_naive()\n\n    # Check datetime is aware\n    print dt.is_aware()\n\nOutput:\n\n.. code:: sh\n\n    1465591177.280863\n    True\n    False\n\nAuthor\n======\n\nCuong Manh Le cuong.manhle.vn@gmail.com\n\nLicense\n=======\n\nSee `LICENSE <https://github.com/cuonglm/dtim/blob/master/LICENSE>`__",
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