- Update to version 1.7.3
* 3rd bugfix release since 1.7.0
- Highlights from the 1.7.0 release
* A new submodule for quasi-Monte Carlo, scipy.stats.qmc, was
added
* The documentation design was updated to use the same
PyData-Sphinx theme as NumPy and other ecosystem libraries.
* We now vendor and leverage the Boost C++ library to enable
numerous improvements for long-standing weaknesses in
scipy.stats
* scipy.stats has six new distributions, eight new (or
overhauled) hypothesis tests, a new function for bootstrapping,
a class that enables fast random variate sampling and
percentile point function evaluation, and many other
enhancements.
* cdist and pdist distance calculations are faster for several
metrics, especially weighted cases, thanks to a rewrite to a
new C++ backend framework
* A new class for radial basis function interpolation,
RBFInterpolator, was added to address issues with the Rbf
class.
- Enable fast part of the test suite