Jeff Reback

[Wes McKinney @wesmckinn]

New blog post — Voltron Data Update: Transitions

https://t.co/gTjvBiKvRz

[Wes McKinney @wesmckinn]

Some long form thoughts on composable data management systems (and @ApacheArrow, @pandas_dev, and more) on the heels of VLDB 2023 (also migrated my blog to @quarto_pub!):

https://t.co/86XJh8fZVB

[pandas @pandas_dev]

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!

[pandas @pandas_dev]

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

[Ibis @IbisData]

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 @DataPolars✅

[pandas @pandas_dev]

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: https://t.co/4RSNSMJ899

[Anaconda @anacondainc]

#OSS has a lot going for it- lower onboarding times, a global support community, near constant innovation.

Listen to @TwoSigma’s @jreback on @AnacondaInc’s Numerically Speaking podcast on why this effect has made projects like #pandas 🐼 a utility.

👉🎙️ https://t.co/NchX69p8eM

[Anaconda @anacondainc]

On the latest episode of @Anacondainc’s Numerically Speaking podcast, host @pwang speaks w/ @twosigma’s @jreback about his #Pandas 🐼 journey & the changing attitudes toward open-source software (OSS).

Listen wherever you get your podcasts.

🎙️: https://t.co/NchX697wQc

[Jeff Reback @jreback]

I did a podcast on my involvement and history with #pandas. Enjoyed the talk with Peter Wang on Numerically Speaking #Anaconda. See https://t.co/K2SrRWV5Pn

[pandas @pandas_dev]

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: https://t.co/8wXEOahwwA

[Andreas Mueller @amuellerml]

Pandas DataFrame output is now available for all sklearn transformers (in dev)! https://t.co/o4qdahQpZC This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names! thanks to @thomasjpfan @glemaitre58 and Christian Lorentzen!

[pandas @pandas_dev]

Full release notes: https://t.co/F67GFh1OV2

[pandas @pandas_dev]

pandas 1.5.0 is now available!

For more info: https://t.co/S9vgW8hVIv

[Ibis @IbisData]

Ibis maintainer @cpcloudy and @VoltronData developer advocate @marlene_zw 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

https://t.co/yTElMnDs4O

[Cameron Riddell @RiddleMeCam]

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 @rikturr @skyetetra @thomasjpfan @jreback @dontusethiscode

[Wes McKinney @wesmckinn]

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

[pandas @pandas_dev]

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 https://t.co/UJPydzykS4

[Lauren Oldja 🫡 @[email protected] @urbanplans]

Attn: Program Committee - pls RT! :)
@thejunglejane @jreback @thomasjpfan @skyetetra @digitalFlaneuse @mathemagicianMZ @rikturr @RiddleMeCam

[pandas @pandas_dev]

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: https://t.co/XvtQz42hqR

[pandas @pandas_dev]

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: https://t.co/gcRLS319dw