[mfarragher]

Hi there, I'm a data scientist and economist who uses the main Python stats libraries regularly. I was frustrated by how long it takes to fit basic regression models and diagnose models, so I began working on a package called Appelpy (Applied Econometrics Library for Python).

The aim: Make regression modelling as easy as pie.

Now that I've tightened up my code coverage and fleshed out some documentation – ReadTheDocs and notebook tutorials that can be viewed with Binder & Nbviewer – I'm sharing the library more widely!

The library is built upon Statsmodels but I've tried to make a more cohesive interface for regression modelling, with model diagnostics in mind especially. Model diagnostics are the time-consuming and repetitive part of regression modelling in Python, but through Appelpy diagnostics can be done with minimal code.

This is the first project I've released on PyPI and I was working on it to hone my software engineering skills, so I'm interested in tips and feedback.

- Mark

[mushufasa]

Thanks. The lack of something like this has been keeping me drawn to R for pure statistics work. I'll definitely give this a try.