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fix(deps): update scientific stack - #1033
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This PR contains the following updates:
0.25.0→0.26.01.6.5→1.6.6.12026.7.1→2026.8.0==1.0.5→==1.1.63.10.9→3.11.21.7.4→1.7.5.1.post11.7.4→1.7.5.1.post12.5.2→2.5.43.0.3→3.1.02026.7.0→2026.9.0Release Notes
SciTools/cartopy (cartopy)
v0.26.0Compare Source
What's Changed
add_feature/add_geometriesby @rcomer in #2569New Contributors
Full Changelog: SciTools/cartopy@v0.25.0...v0.26.0
answerdotai/fastprogress (fastprogress)
v1.1.6Compare Source
New Features
v1.1.5Compare Source
Bugs Squashed
self.outnot initialised properly (#118)v1.1.3Compare Source
New Features
show_styles(#116)v1.1.2Compare Source
New Features
show_styles(#116)v1.1.1Compare Source
New Features
hdrs(#115)v1.1.0Compare Source
Breaking Changes
matplotlib/matplotlib (matplotlib)
v3.11.2: REL: v3.11.2Compare Source
This is the second bugfix release of the 3.11.x series.
This release contains several bug-fixes and adjustments:
hexbinclipping in PDF output\textwith internal bracesPillowWriterResizeEventhandling forTextBoxv3.11.1: REL: v3.11.1Compare Source
This is the first bugfix release of the 3.11.x series.
This release contains several bug-fixes and adjustments:
sharey=TrueNoNormcursor formatting foruint8imagesAs well as several documentation and typing improvements and corrections.
v3.11.0: REL: v3.11.0Compare Source
The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner.
Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. See the release notes for more information.
Unidata/netcdf4-python (netCDF4)
v1.7.5.1.post1=============================================
v1.7.5.1=============================================
v1.7.5=============================================
numpy/numpy (numpy)
v2.5.4: (Oct 10, 2026)Compare Source
NumPy 2.5.4 Release Notes
Released on 2026-10-10.
NumPy 2.5.4 is a patch release that fixes bugs discovered after the 2.5.3
release. Highlights are:
This release supports Python versions 3.12-3.15.
Improvements
numpy.linalg.svdandnumpy.linalg.lstsqnow raise for inputs containinginfinities instead of returning garbage results.
Fixed hangs in
numpy.linalg.svdandnumpy.linalg.lstsqfor certain inputscontaining infinities for recent versions of some LAPACK implementations.
numpy.linalg.condnow handles non-finite inputs more consistently.(gh-32593)
StringDType hashing with NaN sentinels
StringDTypeinstances with equivalent floating-point NaN sentinels nowhave equal hashes. Previously, distinct NaN objects could produce equal
dtype instances with different hashes, causing dictionary lookups and set
deduplication to fail.
(gh-32563)
Changes
MaskedArrayresets a fill_value that cannot be represented in a new dtypeA fill_value copied from a source array is now reset to the default fill_value
for the new dtype when it cannot be represented in that dtype. Previously the
copied value could be stale: ufuncs that change dtype left the result holding a
fill_value typed for the old dtype, which raised a
TypeErroronly whensomething later validated it (such as
.view()), and a floating pointfill_value that overflows an integer dtype was kept as an out-of-range value
together with a
RuntimeWarning. Both now fall back to the default,including when a masked array is passed to
MaskedArraywith a differentdtype. A fill_value given explicitly by the user is still validated andraises as before. This can now raise a
ComplexWarningif the fill_value iscomplex and the new dtype is real.
(gh-32508)
(gh-32562)
Contributors
A total of 9 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
Pull requests merged
A total of 17 pull requests were merged for this release.
v2.5.3: (Sep 6, 2026)Compare Source
NumPy 2.5.3 Release Notes
The NumPy 2.5.3 is a patch release that fixes bugs discovered after the 2.5.2
release. Apart from the usual bug and maintenance work, there are a number of
StringDType related fixes for problems discovered during the ongoing string
work in the main branch.
This release supports Python versions 3.12-3.15
Changes
Casting a fixed-width byte string array (
np.bytes_) toStringDTypenow raises
TypeErrorwhen the bytes are not valid UTF-8. Previously theinvalid bytes were stored as-is and later caused undefined behavior in
string operations.
(gh-32296)
MaskedArray._fill_valuewould become stale when ufuncs that change dtypeleft the result holding a fill_value typed for the old dtype. The mismatch
was silent until something later called
_check_fill_value, such as.view(), and then aTypeErrorwould be raised. Now, when the copiedfill_value is no longer valid for the new dtype, fall back to the
default fill_value for that dtype instead of propagating the stale value.
This may raise a
ComplexWarningif the fill_value is complex and thenew dtype is real.
(gh-32423)
Contributors
A total of 9 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
Pull requests merged
A total of 27 pull requests were merged for this release.
np.random.{get,set}_bit_generatorimplicit re-exports...PyObject_functions instead of rawPyArray_ ones(#32331)pandas-dev/pandas (pandas)
v3.1.0: pandas 3.1.0Compare Source
We are pleased to announce the release of pandas 3.1.0.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.
Highlights include:
DataFrame.select()and updatedDataFrame.filter()methodpd.read_csv(), with parallel reads of large filesSee the detailed release notes for a list of all the changes.
The release can be installed from PyPI:
Or from conda-forge
Please report any issues with the release on the pandas issue tracker.
Thanks to all the contributors who made this release possible.
v3.0.6: pandas 3.0.6Compare Source
We are pleased to announce the release of pandas 3.0.6.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version. This is also the first release to support Python 3.15.
See the full whatsnew for a list of all the changes.
Pandas 3.0 supports Python 3.11 and higher.
The release can be installed from PyPI:
Or from conda-forge
Please report any issues with the release on the pandas issue tracker.
Thanks to all the contributors who made this release possible.
v3.0.5: pandas 3.0.5Compare Source
We are pleased to announce the release of pandas 3.0.5.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.
See the full whatsnew for a list of all the changes.
Pandas 3.0 supports Python 3.11 and higher.
The release can be installed from PyPI:
Or from conda-forge
Please report any issues with the release on the pandas issue tracker.
Thanks to all the contributors who made this release possible.
v3.0.4: pandas 3.0.4Compare Source
We are pleased to announce the release of pandas 3.0.4.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.
See the full whatsnew for a list of all the changes.
Pandas 3.0 supports Python 3.11 and higher.
The release can be installed from PyPI:
Or from conda-forge
Please report any issues with the release on the pandas issue tracker.
Thanks to all the contributors who made this release possible.
pydata/xarray (xarray)
v2026.9.0Compare Source
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