Mailman 3 August 2023 - 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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ANN: pandas v2.1.0
by Thomas Li Aug. 31, 2023

Aug. 31, 2023

We are pleased to announce the release of pandas 2.1.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the [full whatsnew]( https://pandas.pydata.org/pandas-docs/version/2.1.0/whatsnew/v2.1.0.html) for a list of all the changes. Pandas 2.1.0 supports Python 3.9 and higher. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas 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.

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ANN: pandas v2.1.0rc0
by Thomas Li Aug. 23, 2023

Aug. 23, 2023

We are pleased to announce a release candidate for pandas 2.1.0. If all goes well, we'll release pandas 2.1.0 in about two weeks. See the [whatsnew][0] for a list of all the changes. The release will be available on conda-forge and PyPI. The release can be installed from PyPI python -m pip install --upgrade --pre pandas==2.1.0rc0 Or from conda-forge conda install -c conda-forge/label/pandas_rc pandas==2.1.0rc0 Please report any issues with the release candidate on the pandas issue tracker. [0]: https://pandas.pydata.org/pandas-docs/version/2.1.0rc0/whatsnew/v2.1.0.html

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[Pandas] OSS Tool for automatic guideline compliance built at YC
by FG Fernandez Aug. 11, 2023

Aug. 11, 2023

Hello there, I'm reaching out following up on the advice of Patrick Hoefler! Congratulations on the entire journey of pandas, it's quite popular, a great tool, and a beautiful example of open source. To keep it short: I'm building an open-source tool to ease the maintainer job: you pick the guidelines, and our IDE extension takes care of the compliance/assistance on the contributor side. The nice part is that you can specify what you want in natural language, which will be turned into a checkable item (see that as precommit/as-you-type compliance using natural language inputs). You can check the GitHub projects if you'd like: - Maintainer platform: https://github.com/quack-ai/maintainer-platform - IDE extension: https://github.com/quack-ai/companion We've been accepted into YC, and now making that project a reality, gradually adding features! Full transparency: we'll monetize this for private repos and B2B later, but it will remain free for open-source projects (perhaps monthly/weekly usage limits at some point to control our bills). I'm typically building that project for repos like matplotlib so I'd love to hear your feedback. I'm not sure exactly who's on this mailing list, but I'd love to have a quick chat with maintainers if that could be of any use to you (or async if that's easier for you). Best, -- *François-Guillaume FERNANDEZ* *Founder & CTO* *P* : +33 (0)6 69 12 33 73 *E* : fg(a)quack-ai.com

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