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Readersourcing 2.0: RS_Py

Michael Soprano; Stefano Mizzaro

RS_Py is an additional component of the Readersourcing 2.0 ecosystem which provides a fully-working implementation of two Readersourcing models which are incapsulated by the server-side application of Readersourcing 2.0. Developers with a background in Python programming language can take advantage of RS_Py to generate and test new simulations of ratings given by readers to a set of publications and they are allowed to alter the internal logic of the models to test new approaches without the need to fork and edit the full implementation of Readersourcing 2.0.

Please, note that this is an early alpha release and it is not ready for the use in a production environment.
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