Metadata-Version: 1.1
Name: dclab
Version: 0.2.1
Summary: Data analysis for real-time deformability cytometry.
Home-page: https://github.com/ZELLMECHANIK-DRESDEN/dclab
Author: Paul Müller
Author-email: paul.mueller@biotec.tu-dresden.de
License: GPL v2
Description: dclab
        =====
        
        |PyPI Version| |Build Status| |Coverage Status|
        
        
        This is a Python library for the post-measurement analysis of
        real-time deformability cytometry (RT-DC) data sets; an essential part of
        `ShapeOut <https://github.com/ZELLMECHANIK-DRESDEN/ShapeOut>`__.
        
        
        Installation
        ------------
        To install the latest release, simply run
        
        ::
        
        	pip install dclab
        	
        
        If you want to get the bleeding edge from GitHub, run
        
        ::
        
        	pip install git+git://github.com/ZELLMECHANIK-DRESDEN/dclab.git
        
        
        Information for developers
        --------------------------
        
        
        Contributing
        ~~~~~~~~~~~~
        The main branch for developing dclab is master.
        If you want to make small changes like one-liners,
        documentation, or default values in the configuration,
        you may work on the master branch. If you want to change
        more, please (fork dclab and) create a separate branch,
        e.g. ``my_new_feature_dev``, and create a pull-request
        once you are done making your changes.
        Please make sure to edit the 
        `Changelog <https://github.com/ZELLMECHANIK-DRESDEN/dclab/blob/master/CHANGELOG>`__. 
        
        **Very important:** Please always try to use 
        
        ::
        
        	git pull --rebase
        
        instead of
        
        ::
        
        	git pull
        	
        to prevent confusions in the commit history.
        
        Tests
        ~~~~~
        dclab is tested using pytest. If you have the time, please write test
        methods for your code and put them in the ``tests`` directory.
        
        
        Incrementing version
        ~~~~~~~~~~~~~~~~~~~~
        dclab currently gets its version from the latest git tag.
        If you think that a new version should be published,
        create a tag on the master branch (if you have the necessary
        permissions to do so):
        
        ::
        
        	git tag -a "0.1.3"
        	git push --tags origin
        
        
        Uploading to PyPI
        ~~~~~~~~~~~~~~~~~
        If this is not automated yet, only @paulmueller can upload
        a new version of dclab to the Python Package Index.
        
        
        Notes on `ShapeOut <https://github.com/ZELLMECHANIK-DRESDEN/ShapeOut/>`__
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        The `appveyor ShapeOut build <https://ci.appveyor.com/project/paulmueller/ShapeOut>`__
        is automatically triggered after each commit to the ShapeOut repository. At each build,
        the master branch of dclab is checked out and the ShapeOut installer is built with it.
        Therefore, it is not necessary to bump the version of dclab or to upload the latest
        version of dclab to PyPI in order to get your new code into ShapeOut.
        
        
        .. |PyPI Version| image:: http://img.shields.io/pypi/v/dclab.svg
           :target: https://pypi.python.org/pypi/dclab
        .. |Build Status| image:: http://img.shields.io/travis/ZELLMECHANIK-DRESDEN/dclab.svg
           :target: https://travis-ci.org/ZELLMECHANIK-DRESDEN/dclab
        .. |Coverage Status| image:: https://img.shields.io/coveralls/ZELLMECHANIK-DRESDEN/dclab.svg
           :target: https://coveralls.io/github/ZELLMECHANIK-DRESDEN/dclab
        
Keywords: RTDC,deformation,cytometry,zellmechanik
Platform: ALL
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Intended Audience :: Science/Research
