Metadata-Version: 1.1
Name: predictive_punter
Version: 1.0.0a0
Summary: Applying predictive analytics to horse racing via Python
Home-page: https://github.com/justjasongreen/predictive_punter
Author: Jason Green
Author-email: justjasongreen@gmail.com
License: MIT
Description: =================
        predictive_punter
        =================
        
        
        This project aims to apply predictive analytics to horse racing via Python.
        
        
        .. image:: https://travis-ci.org/justjasongreen/predictive_punter.svg?branch=master
            :target: https://travis-ci.org/justjasongreen/predictive_punter
            :alt: Build Status
        .. image:: https://coveralls.io/repos/github/justjasongreen/predictive_punter/badge.svg?branch=master
            :target: https://coveralls.io/github/justjasongreen/predictive_punter?branch=master
            :alt: Coverage Status
        .. image:: https://landscape.io/github/justjasongreen/predictive_punter/master/landscape.svg?style=flat
            :target: https://landscape.io/github/justjasongreen/predictive_punter/master
            :alt: Code Health
        
        
        ************
        Installation
        ************
        
        
        Prior to using predictive_punter, the package must be installed in your current Python environment. In most cases, an automated installation via PyPI and pip will suffice, as follows::
        
            pip install predictive_punter
        
        If you would prefer to gain access to new (unstable) features via a pre-release version of the package, specify the 'pre' option when calling pip, as follows::
        
            pip install --pre predictive_punter
        
        To gain access to bleeding edge developments, the package can be installed from a source distribution. To do so, you will need to clone the git repository and execute the setup.py script from the root directory of the source tree, as follows::
        
            git clone https://github.com/justjasongreen/predictive_punter.git
            cd predictive_punter
            python setup.py install
        
        If you would prefer to install the package as a symlink to the source distribution (for development purposes), execute the setup.py script with the 'develop' option instead, as follows::
        
            python setup.py develop
        
        
        ***********
        Basic Usage
        ***********
        
        
        To access the functionality described below, you must first import the predictive_punter package into your Python interpreter, as follows::
        
            >>> import predictive_punter
        
        
        ***********************
        Development and Testing
        ***********************
        
        
        The source distribution includes a test suite based on pytest. To ensure compatibility with all supported versions of Python, it is recommended that the test suite be run via tox.
        
        To install all development and test requirements into your current Python environment, execute the following command from the root directory of the source tree::
        
            pip install -e .[dev,test]
        
        To run the test suite included in the source distribution, execute the tox command from the root directory of the source tree as follows::
        
            tox
        
Keywords: predictive analytics horse racing
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
