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Patsy (PyData Berlin)

Patsy (PyData Berlin)

PyData Berlin / Canada Day, 2017 at 11:45am - 12:30pm

Max Humber

July 01, 2017

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  2. Patsy is a Python library for describing statistical models (especially

    linear models, or models that have a linear component) and building design matrices. Patsy brings the convenience of R "formulas" to Python. https://github.com/pydata/patsy
  3. Our goal is to make Patsy the de facto standard

    for describing models in Python, regardless of the underlying package in use – just as formulas are the standard interface to all R packages. Therefore we’ve tried to make it as easy as possible for you to build Patsy support into your libraries. https://patsy.readthedocs.io/en/latest/library-developers.html
  4. PyMC3 is a Python package for Bayesian statistical modeling and

    Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. Its flexibility and extensibility make it applicable to a large suite of problems. https://pymc-devs.github.io/pymc3/