Metadata-Version: 1.1
Name: datatest
Version: 0.6.0.dev1
Summary: Testing tools for data preparation.
Home-page: https://pypi.python.org/pypi/datatest
Author: Shawn Brown
Author-email: UNKNOWN
License: UNKNOWN
Description: 
        ********************************************
        datatest: Testing tools for data preparation
        ********************************************
        
        Datatest extends the Python standard library's unittest package to
        provide testing tools for asserting data correctness.
        
        * Documentation: http://datatest.readthedocs.io/en/latest/
        * Official Releases: https://pypi.python.org/pypi/datatest
        * Development: https://github.com/shawnbrown/datatest
        
        Datatest can help prepare messy data that needs to be cleaned,
        integrated, formatted, and verified. It can provide structure for the
        tidying process, automate checklists, log discrepancies, and measure
        progress.
        
        
        Installation
        ============
        
        The easiest way to install datatest is to use pip::
        
          pip install datatest
        
        
        Stuntman Mike
        -------------
        
        If you need bug-fixes or features that are not available in the
        current official release, you can "pip install" the *unstable*
        development version directly from GitHub::
        
          pip install --upgrade https://github.com/shawnbrown/datatest/archive/master.zip
        
        All of the usual caveats of a bleeding-edge install should apply here.
        Only use an unstable development version if you can risk some
        instability or if you know exactly what you're doing. While care is
        taken to never break the build, it can happen.
        
        
        Safety-first Clyde
        ------------------
        
        If you need to review and test packages before installing, you can
        install datatest manually:
        
        Download the latest version from https://pypi.python.org/pypi/datatest
        
        Unpack the file and review the source code (replacing X.Y.Z with the
        appropriate version number)::
        
          tar xvfz datatest-X.Y.Z.tar.gz
        
        Change to the unpacked directory and run the tests::
        
          cd datatest-X.Y.Z
          python setup.py test
        
        Please Note: Tests for optional data sources (like pandas DataFrames or
        MS Excel files) are skipped if the related third-party packages are not
        installed.
        
        If everything looks good, install the package::
        
          python setup.py install
        
        
        Supported Versions
        ==================
        
        Tested on Python versions 3.5, 3.4, 3.3, 3.2, 3.1, 2.7 and 2.6.
        Datatest is pure Python and is likely to run on PyPy, Jython, and other
        implementations without issues (check with "setup.py test" before
        installing).
        
        
        Future Plans
        ============
        
        We're aiming to release a 1.0.0, stable API by the end of the year. But
        before this happens, we want to get community feedback, add support for
        more data sources, and improve py.test integration (including a py.test
        plugin).
        
        This said, all of the data used at the `National Committee for an
        Effective Congress <http://ncec.org/about>`_ has been checked with test
        suites built on datatest for more than a year. The API may adjust in
        small ways but drastic changes are not anticipated.
        
        
        Dependencies
        ============
        
        There are no hard dependencies. But if you want to interface with pandas
        DataFrames, MS Excel workbooks, or other optional data sources, you will
        need to install the relevant third-party packages (``pandas``, ``xlrd``,
        etc.).
        
        
        ------------
        
        Freely licensed under the Apache License, Version 2.0
        
        Copyright 2014 - 2016 NCEC Services, LLC and contributing authors
        
Platform: UNKNOWN
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
