Metadata-Version: 2.1
Name: gamba
Version: 0.1.0
Summary: gambling transaction analysis in Python
Home-page: https://github.com/gamba-dev/gamba
Author: Oliver J. Scholten
Author-email: oliver@gamba.dev
License: UNKNOWN
Project-URL: Documentation, https://gamba.dev
Project-URL: Source Code, https://github.com/gamba-dev/gamba
Project-URL: Twitter, https://twitter.com/gamba_dev
Description: # gamba: gambling transaction analysis in Python
        
        
        gamba is an open source transaction analysis library written in Python. It contains a collection of methods for reproducing work in the field of player behaviour tracking - a subset of gambling studies focussed on understanding behaviours for consumer protection.
        
        
        ## Where to get it
        The source code is available at www.github.com/gamba-dev/gamba
        
        It can be installed through PyPi
        `pip install gamba`
        
        ## Documentation
        The documentation for gamba is available at [gamba.dev](https://www.gamba.dev)
        
        ## License
        gamba is [BSD-3 licensed](https://www.github.com/gamba-dev/gamba/license.md).
        
        ## Background
        gamba was created by [Oliver J. Scholten](https://scholar.google.co.uk/citations?user=tvAteogAAAAJ&hl=en) as a way to transparently replicate existing work in the field of player behaviour tracking. By open sourcing the tools needed to perform existing analyses, we hope to help researchers and regulators keep pace with understanding new gambling technologies and their social and economic impacts.
        
        ## Getting help
        For general discussions the [official Twitter account](https://www.twitter.com/gamba_dev) is checked frequently. For usage questions the first place to check is [the documentation](https://www.gamba.dev), failing that the [developer email](mailto:dev@gamba.dev) is there to answer technical and new-user questions. 
        
        ## Contributing to gamba
        If you'd like to contribute, through adding new features, fixing bugs, or improving documentation, please visit the [developer page](https://www.gamba.dev/development.html) in the documentation. 
        
        Sharing knowledge of this library is another great way to contribute - please share this page or the [official Twitter account](https://www.twitter.com/gamba_dev) with researchers and analysts who may benefit!
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
