pandas added some new sponsors in the last few months. Thanks Voltron Data, Quansight Labs, NVIDIA and Bodo for supporting pandas development. You can see the full list of sponsors in our home page: pandas.pydata.org

We are happy to announce the release candidate of pandas 1.5.0. Users having pandas code in production and maintainers of libraries with pandas as a dependency are strongly recommended to run the tests suites with the release candidate. More info: t.me/pandas_dev

Attn: Program Committee - pls RT! :) hot cross buns Jeff Reback Thomas J. Fan @skyetetra Laura Michael Zargham Aaron Richter Cameron Riddell

Thank you to the ~20,000 people who have installed the pandas 1.5 release candidate! You too can install it: python -m pip install --pre pandas==1.5.0rc0 OR mamba install -c conda-forge/label/pandas_rc pandas==1.5.0rc0 Please report any issues to github.com/pandas-dev/pan…

The first copies of Python for Data Analysis 3e are rolling off the presses! Hope everyone enjoys the updated content

Can't believe we are already at the point of finalizing proposal selections for PyData New York City 2022, Nov. 09 to 11. Thanks to our amazing proposal committee for your hard work Aaron Richter @skyetetra Thomas J. Fan Jeff Reback James Powell

pandas 1.5.0 is now available! For more info: groups.google.com/g/pydata/c/KR2…

Ibis maintainer Phillip and Voltron Data developer advocate Marlene Mhangami had a discussion on our YouTube channel about the Ibis 3.2.0's Top 3 features📽️ Watch the video and subscribe to our YouTube channel for more youtube.com/watch?v=ARNona…

Full release notes: pandas.pydata.org/pandas-docs/st…

If you've: - ever wondered how to contribute to pandas - are you trying to contribute but are stuck on something - want a friendly chat with maintainers then you might want to join our new contributors meeting! To prepare, here's the contributing guide: pandas.pydata.org/docs/dev/devel…

Pandas DataFrame output is now available for all sklearn transformers (in dev)! scikit-learn.org/dev/auto_examp… This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names! thanks to Thomas J. Fan Guillaume Lemaitre and Christian Lorentzen!

I did a podcast on my involvement and history with #pandas. Enjoyed the talk with Peter Wang on Numerically Speaking #Anaconda. See youtu.be/-RvRAv9Fuy8

On the latest episode of @Anacondainc’s Numerically Speaking podcast, host Peter Wang 🦋 speaks w/ Two Sigma’s Jeff Reback about his #Pandas 🐼 journey & the changing attitudes toward open-source software (OSS). Listen wherever you get your podcasts. 🎙️: bit.ly/3TgJET8

#OSS has a lot going for it- lower onboarding times, a global support community, near constant innovation. Listen to @TwoSigma’s Jeff Reback on @AnacondaInc’s Numerically Speaking podcast on why this effect has made projects like #pandas 🐼 a utility. 👉🎙️ bit.ly/3TgJET8

We are pleased to announce the release of pandas v1.5.2. We recommend that all users in the 1.5.x series upgrade to this version. The release can be installed from PyPI and conda-forge. See the release notes for the list of changes: pandas.pydata.org/docs/whatsnew/…

We're excited to announce the release of Ibis v4.1.0🌱 Here's a thread of some of our favorite features🚀🔥 1. `get_backend`: Keep track of which backend you're using! Here's an example of reading a CSV file with DuckDB (our default backend) and then switching to polars data✅

We are happy to announce the release candidate of pandas 2.0.0. It can be installed from our conda-forge and PyPI packages via mamba, conda or pip, for example: mamba install -c conda-forge/label/pandas_rc pandas==2.0.0rc0 python -m pip install --upgrade --pre pandas==2.0.0rc0

We're happy to announce the release of #pandas 2.0.0. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. You can find what's new in this version in the release notes. Thanks to all contributors and sponsors who made this release possible!

Some long form thoughts on composable data management systems (and ApacheArrow, pandas, and more) on the heels of VLDB 2023 (also migrated my blog to Quarto!): wesmckinney.com/blog/looking-b…

New blog post — Voltron Data Update: Transitions wesmckinney.com/blog/voltron-d…