Mailman 3 April 2024 - Pandas-dev

pandas new infrastructure (OVH donation)
by Marc Garcia Sept. 21, 2024

Sept. 21, 2024

Hi all, pandas has received a donation from OVHcloud <https://www.ovhcloud.com/> to support the project infrastructure, with OVHcloud public cloud credits (an initial amount of 10,000 EUR for a period of one year). OVH is open to sponsor longer term and also other projects of the ecosystem (or NumFOCUS as a whole), but we started with this to have feedback at a smaller scale first. The credits will be used initially for: - Hosting of the pandas website - Running the pandas benchmarks - Speeding up the project CI I detail next what I have in mind to set up for each. If anyone is interested in getting involved, or has ideas, comments... please let me know. I'll publish updates here as there is progress on this. Website: I'm planning to experiment on splitting the website in two (it'll be transparent for users). The website and the stable docs which receive most of the traffic can probably be stored in Cloudflare pages. We're already using Cloudflare as a CDN, so instead of using it as a cache, we can publish the documents there. The rest of the docs (old versions and the dev version) can be hosted in bucket storage of the OVHcloud. Response times may be a bit slower, but our website is bigger than the Cloudflare quota, and having old docs rarely accessed in a CDN seems unnecessary anyway. - Benchmarks: OVHcloud instances have guaranteed hardware, and we'll be checking if this is enough for the results of the benchmarks to be consistent over runs, or if there is too much variability and we need dedicated hardware. If consistency is good enough that would be great, since our benchmarks mostly use one core, and using dedicated hardware is likely to be a decent waste of resources, since most servers will likely have 16 cores or more. We'll discuss with OVH if dedicated hardware is needed, as at the moment their public cloud doesn't offer it (there is an alpha for providing dedicated instances, but we need to check with them). - Faster CI: Our GitHub runners are small, and most builds take around one hour or more to finish. We should be able to use bigger OVH instances for our existing CI pretty easily, via their OpenStack API and CIrun.

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February 2023 bi-monthly community meeting (Wednesday February 8, UTC 18:00)
by Joris Van den Bossche Sept. 11, 2024

Sept. 11, 2024

Hi all, A late reminder that the next bi-monthly (twice a month) dev call is today in a bit more than 1 hour (Wednesday, February 8) at 18:00 UTC. Our calendar is at https://pandas.pydata.org/docs/development/meeting.html#calendar to check your local time. The pandas Community Meeting is a regular sync meeting for the project's maintainers which is open to the community. All are welcome to attend! Video Call: https://us06web.zoom.us/j/84484803210?pwd=TjUxNmcyNHcvcG9SNGJvbE53Y21GZz09 Meeting notes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-… Joris

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Is it time for a bi-weekly pandas call?
by Marco Gorelli May 13, 2024

May 13, 2024

Currently, there's a monthly pandas call, which has been in place for several years. Seeing as there's now more people working on pandas as part of their jobs, might it be time to increase the frequency? E.g. to meet every 2 weeks, instead of once a month?

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Feature Recommendation
by Diogo José Almeida Rodrigues April 18, 2024

April 18, 2024

Dear Project Team, I hope this email finds you well. I recently had the opportunity to contribute a bug fix to pandas, which I found immensely gratifying as my first open source experience. I am now eager to further contribute by developing a new feature for pandas. Do you have any recommendations or specific features in mind that would be beneficial to the project? Thank you for your time and consideration. Best regards, Diogo Rodrigues

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ANN: pandas 2.2.2
by Thomas Li April 10, 2024

April 10, 2024

We are pleased to announce the release of pandas v2.2.2. This is a patch release in the 2.2.x series and includes some regression fixes and bug fixes. We recommend that all users in the 2.2.x series upgrade to this version. See the release notes <https://pandas.pydata.org/pandas-docs/version/2.2.2/whatsnew/v2.2.2.html> for a list of all the changes. The release can be installed from PyPI python -m pip install --upgrade pandas==2.2.2 Or from conda-forge conda install -c conda-forge pandas==2.2.2 Please report any issues with the release on the pandas issue tracker <https://github.com/pandas-dev/pandas/issues/new/choose>. Thanks to all the contributors <https://pandas.pydata.org/pandas-docs/version/2.2.2/whatsnew/v2.2.2.html#co…> who made this release possible.

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