SciPy 1.9.0 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. Before upgrading, we recommend that users check that
their own code does not use deprecated SciPy functionality (to do so,
run your code with python -Wd and check for DeprecationWarning s).
Our development attention will now shift to bug-fix releases on the
1.9.x branch, and on adding new features on the main branch.
This release requires Python 3.8-3.11 and NumPy 1.18.5 or greater.
For running on PyPy, PyPy3 6.0+ is required.
Highlights of this release
We have modernized our build system to use meson, substantially improving
our build performance, and providing better build-time configuration and
cross-compilation support,
Added scipy.optimize.milp, new function for mixed-integer linear
programming,
Added scipy.stats.fit for fitting discrete and continuous distributions
to data,
Tensor-product spline interpolation modes were added to
scipy.interpolate.RegularGridInterpolator,
A new global optimizer (DIviding RECTangles algorithm)
scipy.optimize.direct.
New features
scipy.interpolate improvements
Speed up the RBFInterpolator evaluation with high dimensional
interpolants.
Added new spline based interpolation methods for
scipy.interpolate.RegularGridInterpolator and its tutorial.
scipy.interpolate.RegularGridInterpolator and scipy.interpolate.interpn
now accept descending ordered points.
RegularGridInterpolator now handles length-1 grid axes.
The BivariateSpline subclasses have a new method partial_derivative
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dependabot[bot]
commented
2 years ago
Bumps scipy from 1.8.1 to 1.9.0.
Release notes
Sourced from scipy's releases.
... (truncated)
Commits
651a9b7REL: set 1.9.0 released.253f894Merge pull request #16727 from tylerjereddy/treddy_final_190_backports4e9ed02REL: 1.9.0 final unreleased.b83feacDOC: update 1.9.0 relnotesee9b834MAINT: stats.monte_carlo_test: used biased estimate of p-value (#16721)7ecca8dMAINT: stats: Work around Cython bug. (#16719)87945b3DOC: a few mailmap updates8cefeadMAINT: optimize.linprog: ensure integrality can be an array (#16684)15e96a0DOC: pin pydata-sphinx-theme to prevent incoming breaking changes.c4c9348REL: set 1.9.0rc3 released.Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
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