Monadic Pipeline Library for Python
Project description
# mPyPl
## Monadic Pipeline Library for Python
This library was created by a team of enthusiastic software developers / data scientists at Microsoft, who wanted to simplify tasks of data processing and creating complex data pipelines. The library is inspired by the following main ideas:
Using functional approach to data processing (which implies immutability, lazy evaluation, etc.)
Using [pipe](https://github.com/JulienPalard/Pipe) module in Python to achieve data pipelines similar to [F#](http://fsharp.org).
Data pipeline uses dictionaries with different fields as base type, new operations would typically enrich data and add new fields by using apply function. Those dictionaries are similar to monads, and apply is similar to lift operation on monads. Thus the naming of the library.
## Tutorial
You can [watch demo video](https://www.youtube.com/watch?v=EI1ZYZPcQyI), this [3 min intro](https://youtu.be/F1c_qQC4Wlw), or read project wiki.
## Credits
Principal developers of mPyPl:
[Dmitri Soshnikov](https://github.com/shwars)
[Yana Valieva](https://github.com/vJenny)
[Tim Scarfe](https://github.com/ecsplendid)
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