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Tutorial material on the scientific Python ecosystem
https://lectures.scientific-python.org
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Bump the actions group with 3 updates #736

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 4 months ago

Bumps the actions group with 3 updates: scipy, matplotlib and scikit-learn.

Updates scipy from 1.12.0 to 1.13.0

Release notes

Sourced from scipy's releases.

SciPy 1.13.0 Release Notes

SciPy 1.13.0 is the culmination of 3 months of hard work. This out-of-band release aims to support NumPy 2.0.0, and is backwards compatible to NumPy 1.22.4. The version of OpenBLAS used to build the PyPI wheels has been increased to 0.3.26.dev.

This release requires Python 3.9+ and NumPy 1.22.4 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

  • Support for NumPy 2.0.0.
  • Interactive examples have been added to the documentation, allowing users to run the examples locally on embedded Jupyterlite notebooks in their browser.
  • Preliminary 1D array support for the COO and DOK sparse formats.
  • Several scipy.stats functions have gained support for additional axis, nan_policy, and keepdims arguments. scipy.stats also has several performance and accuracy improvements.

New features

scipy.integrate improvements

  • The terminal attribute of scipy.integrate.solve_ivp events callables now additionally accepts integer values to specify a number of occurrences required for termination, rather than the previous restriction of only accepting a bool value to terminate on the first registered event.

scipy.io improvements

  • scipy.io.wavfile.write has improved dtype input validation.

scipy.interpolate improvements

  • The Modified Akima Interpolation has been added to interpolate.Akima1DInterpolator, available via the new method argument.
  • New method BSpline.insert_knot inserts a knot into a BSpline instance. This routine is similar to the module-level scipy.interpolate.insert function, and works with the BSpline objects instead of tck tuples.

... (truncated)

Commits
  • 7dcd8c5 REL: 1.13.0 release commit [wheel build]
  • 15a69da Merge pull request #20375 from tylerjereddy/treddy_prep_1_13_0_final
  • 4cbb9e8 DOC: PR 20375 revisions
  • 2431661 MAINT: PR 20375 revisions [wheel build]
  • b85940a DOC, REL: set 1.13.0 final unreleased
  • 13c30bd MAINT: spatial: simplify meson.build
  • abb04b2 MAINT: spatial: use cython_lapack in spatial/_qhull.pyx
  • 729ff0f BUG: interpolate: Fix wrong warning message if degree=-1 in `interpolate.RBFI...
  • 8d82b0a MAINT, BUG: bump OpenBLAS (#20362)
  • 0e67a72 MAINT: backport amos license update
  • Additional commits viewable in compare view


Updates matplotlib from 3.8.3 to 3.8.4

Release notes

Sourced from matplotlib's releases.

REL: v3.8.4

This is the fourth micro release of the 3.8 series.

Highlights of the 3.8.4 release include:

  • Enable building against numpy 2.0; released wheels are built against numpy 2
  • macosx: Clean up single-shot timers correctly
  • Add a draw during show for macos backend
  • Fix color sequence data for Set2 and Set3
  • gtk: Ensure pending draws are done before GTK draw
  • Update "Created with" url in hand.svg
  • Avoid modifying user input to Axes.bar
  • fix quiver3d incorrect arrow colors
Commits
  • 8fb842c REL: v3.8.4
  • 149521e Release prep v3.8.4
  • 39e91a4 Merge branch 'v3.8.3-doc' into v3.8.x
  • e5dd407 Github stats for v3.8.4
  • dbb4e04 Merge pull request #28015 from meeseeksmachine/auto-backport-of-pr-27955-on-v...
  • e0a38c6 Merge pull request #27993 from ksunden/np_2_build
  • dea6de9 Backport PR #27955: Add a draw during show for macos backend
  • 0ec1774 Unpin numpy 2 for install, build against numpy rc for isolated builds
  • 8f1698f Merge pull request #28001 from meeseeksmachine/auto-backport-of-pr-28000-on-v...
  • 79ee5af Backport PR #28000: Fix color sequence data for Set2 and Set3
  • Additional commits viewable in compare view


Updates scikit-learn from 1.4.1.post1 to 1.4.2

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.4.2

We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn
Commits


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