SciPy 1.10.0 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
1.10.x branch, and on adding new features on the main branch.
This release requires Python 3.8+ and NumPy 1.19.5 or greater.
For running on PyPy, PyPy3 6.0+ is required.
Highlights of this release
A new dedicated datasets submodule (scipy.datasets) has been added, and is
now preferred over usage of scipy.misc for dataset retrieval.
A new scipy.interpolate.make_smoothing_spline function was added. This
function constructs a smoothing cubic spline from noisy data, using the
generalized cross-validation (GCV) criterion to find the tradeoff between
smoothness and proximity to data points.
scipy.stats has three new distributions, two new hypothesis tests, three
new sample statistics, a class for greater control over calculations
involving covariance matrices, and many other enhancements.
New features
scipy.datasets introduction
A new dedicated datasets submodule has been added. The submodules
is meant for datasets that are relevant to other SciPy submodules ands
content (tutorials, examples, tests), as well as contain a curated
set of datasets that are of wider interest. As of this release, all
the datasets from scipy.misc have been added to scipy.datasets
(and deprecated in scipy.misc).
The submodule is based on Pooch
(a new optional dependency for SciPy), a Python package to simplify fetching
data files. This move will, in a subsequent release, facilitate SciPy
to trim down the sdist/wheel sizes, by decoupling the data files and
moving them out of the SciPy repository, hosting them externally and
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Bumps scipy from 1.9.1 to 1.10.0.
Release notes
Sourced from scipy's releases.
... (truncated)
Commits
dde5059REL: 1.10.0 final [wheel build]7856f28Merge pull request #17696 from tylerjereddy/treddy_110_final_prep205b624DOC: add missing author1ab9f1bDOC: update 1.10.0 relnotesac2f45fMAINT: integrate._qmc_quad: mark as private with preceding underscore3e0ae1aREV: integrate.qmc_quad: delay release to SciPy 1.11.034cdf05MAINT: FFT pybind11 fixups843500aMerge pull request #17689 from mdhaber/gh17686089924bREL: integrate.qmc_quad: remove from release notes3e47110REL: 1.10.0rc3 unreleasedDependabot 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
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)