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author | markd <markd> | 2016-04-23 22:51:57 +0000 |
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committer | markd <markd> | 2016-04-23 22:51:57 +0000 |
commit | 16d58739fd32ec1365ad9529a4d82838cf67a6aa (patch) | |
tree | 26d46338f878aa1a9ff398185486533ffa144986 /security/p5-IO-Socket-SSL/distinfo | |
parent | 906a7bea57397b971ee9f8035b9b9f28b958d4c1 (diff) | |
download | pkgsrc-16d58739fd32ec1365ad9529a4d82838cf67a6aa.tar.gz |
Update py-scipy to 0.17.0
SciPy 0.17.0 is the culmination of 6 months of hard work. It contains many
new features, numerous bug-fixes, improved test coverage and better
documentation. There have been a number of deprecations and API changes in
this release, which are documented below. All users are encouraged to
upgrade to this release, as there are a large number of bug-fixes and
optimizations. Moreover, our development attention will now shift to
bug-fix releases on the 0.17.x branch, and on adding new features on the
master branch.
This release requires Python 2.6, 2.7 or 3.2-3.5 and NumPy 1.6.2 or greater.
Release highlights:
* New functions for linear and nonlinear least squares optimization with
constraints: scipy.optimize.lsq_linear and scipy.optimize.least_squares
* Support for fitting with bounds in scipy.optimize.curve_fit.
* Significant improvements to scipy.stats, providing many functions with
better handing of inputs which have NaNs or are empty, improved
documentation, and consistent behavior between scipy.stats and
scipy.stats.mstats.
* Significant performance improvements and new functionality in
scipy.spatial.cKDTree.
SciPy 0.16.0 is the culmination of 7 months of hard work.
Highlights of this release include:
* A Cython API for BLAS/LAPACK in scipy.linalg
* A new benchmark suite. It’s now straightforward to add new benchmarks,
and they’re routinely included with performance enhancement PRs.
* Support for the second order sections (SOS) format in scipy.signal.
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