[SciPy-User] [ANN] patsy v0.3.0 released

[Nathaniel Smith]

Hi all,

I'm pleased to announce the v0.3.0 release of patsy. The main
highlight of this release is the addition of builtin functions to
compute natural and restricted cubic splines, and tensor spline
products, with optional constraints, and all compatible with the R
package 'mgcv'. (Note that if you wanted to replace mgcv itself then
you still need to implement their penalized fitting algorithm -- these
are just the spline basis functions. But these are very useful on
their own, and allow you to fit model coefficients with mgcv and then
use python to generate predictions from that model.) We also dropped
support for python 2.4 and 2.5, and have switched to a single polyglot
codebase for py2 and py3, allowing us to distribute universal wheels.

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.

Changes: https://patsy.readthedocs.org/en/latest/changes.html#v0-3-0

General information: https://github.com/pydata/patsy/blob/master/README

Share and enjoy,
-n

-- 
Nathaniel J. Smith
Postdoctoral researcher - Informatics - University of Edinburgh
http://vorpus.org