Mailman 3 September 2022 - Pandas-dev

PDEPs: pandas enhancement proposals
by Marc Garcia Nov. 30, 2022

Nov. 30, 2022

We're in the process of implementing PDEPs, equivalent to Python's PEPs and NumPy's NEPs, but for pandas. This should help build the roadmap, make discussions more efficient, obtain more structured feedback from the community, and add visibility to agreed future plans for pandas. The initial implementation (workflow) is a bit simpler than PEP or NEP, but we'll iterate in the future as convenient. You can see the PR for PDEP-1 with the purpose, scope and guidelines here: https://github.com/pandas-dev/pandas/pull/47444 Feedback is very welcome.

6 10

August 2022 monthly community meeting (Wednesday August 10, UTC 18:00)
by Joris Van den Bossche Nov. 8, 2022

Nov. 8, 2022

Hi all, A reminder that the next monthly dev call is tomorrow (Wednesday, August 10) at 18:00 UTC (1pm Central). Our calendar is at https://pandas.pydata.org/docs/development/meeting.html#calendar to check your local time. All are welcome to attend! Video Call: https://us06web.zoom.us/j/84484803210?pwd=TjUxNmcyNHcvcG9SNGJvbE53Y21GZz09 Minutes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-… Joris

1 3

Addition of pandas.api.typing
by Richard Shadrach Sept. 28, 2022

Sept. 28, 2022

Users wishing to type-hint code may need access to pandas classes that shouldn't be instantiated directly, e.g. SeriesGroupBy. The issue linked below proposes to add `pandas.api.typing` for this purpose. Any feedback is much appreciated. https://github.com/pandas-dev/pandas/issues/48577 Best, Richard

1 0

Renewal of the pandas code of conduct committee members
by Marc Garcia Sept. 20, 2022

Sept. 20, 2022

Hi all, We are renewing the members of our code of conduct committee. For more information and applications you can check this form: https://forms.gle/vEY1uhHd1kTco5ja8

1 0

ANN: pandas v1.5.0
by Marc Garcia Sept. 19, 2022

Sept. 19, 2022

Hi all, We are pleased to announce the release of pandas v1.5.0. This release includes some new features, bug fixes and performance improvements. See the release notes <https://pandas.pydata.org/pandas-docs/version/1.5/whatsnew/v1.5.0.html> for a list of all the changes. The release can be installed from PyPI python -m pip install --upgrade pandas==1.5.0 Or from conda-forge mamba install -c conda-forge pandas=1.5.0 Packages for ARM and PowerPC are still being built, and will be available in the next hours. Please report any issues with the release on the pandas issue tracker <https://github.com/pandas-dev/pandas/issues>. This release has been made possible thanks to around 260 contributors. 22 being core developers, and around 70% being first time contributors. It has also been possible thanks to the organisations supporting the development of pandas: NumFOCUS, Two Sigma, Voltron Data, d-fine, Quansight, NVIDIA, Tidelift, Chan Zuckerberg Initiative and Bodo.

1 0

pandas-stubs on Pipedream
by Tod Sacerdoti Sept. 19, 2022

Sept. 19, 2022

1 0

Proposal to move pandas mailing list to @pandas.pydata.org
by Marc Garcia Sept. 6, 2022

Sept. 6, 2022

Hi all, I checked with NumFOCUS, and as a non-profit we're able to use G-Suite free of charge and use google groups with our domain for the different lists of the project. This could include: - A list for the core devs (e.g. core(a)pandas.pydata.org, private) - This list (pandas-dev(a)python.org) for anyone interested in pandas development (e.g. dev(a)pandas.pydata.org) - The list for code of conduct reports (e.g. coc(a)pandas.pydata.org) - List for any workgroups of the project, and any other useful lists we decide (e.g. infrastructure(a)pandas.pydata.org, finances(a)pandas.pydata.org, announcements(a)pandas.pydata.org...) We could also have email addresses with our domain if needed, for example to send emails from the CI, to link them to our social media accounts instead of personal ones... Personally, I think this would be an improvement over what we've got now, being clearer, easier to manage, easier to scale... Is there any comment or any objection to this (about using G-Suite/ pandas.pydata.org, not about the specific lists)?

3 2

ANN: pandas v1.4.4
by Simon Hawkins Sept. 2, 2022

Sept. 2, 2022

Hi all, I'm pleased to announce the release of pandas v1.4.4. This is a patch release in the 1.4.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the release notes <https://pandas.pydata.org/pandas-docs/version/1.4/whatsnew/v1.4.4.html> for a list of all the changes. The release can be installed from PyPI python -m pip install --upgrade pandas==1.4.4 Or from conda-forge conda install -c conda-forge pandas==1.4.4 Please report any issues with the release on the pandas issue tracker <https://github.com/pandas-dev/pandas/issues>. Thanks to all the contributors who made this release possible.

1 0