pandas @pandas_dev

Official account of the pandas project pandas.pydata.org Joined July 2018

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157

pandas @pandas_dev

3 months ago

We're happy to announce the release of #pandas 2.3.0. You can install it with `pip install pandas` or `conda install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

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pandas @pandas_dev

11 months ago

Hey we're the fastest at writing 2300 Parquet files, we can do it in 0 minutes! Oh, wait

Mim @mim_djo

11 months ago

Hey we're the fastest at writing 2300 Parquet files, we can do it in 0 minutes! Oh, wait

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Thiago Teixeira @ThiagoTDotCom

a year ago

For a second I thought this headline was about @pandas_dev and was like HELLSSS YEAH! sfstandard.com/2024/06/12/san…

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pandas @pandas_dev

a year ago

We're happy to announce the release of #pandas 2.2.2. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

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pandas @pandas_dev

2 years ago

We're happy to announce the release of #pandas 2.2.1. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

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Marc Garcia @datapythonista

2 years ago

How fast can a CSV file be processed? I explain in detail comparing many options such as @pandas_dev, @duckdb, @DataPolars, #Python, #R, #Rustlang and more in this new blog post: datapythonista.me/blog/how-fast-…

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pandas @pandas_dev

2 years ago

We're happy to announce the release of #pandas 2.2.0. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

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pandas @pandas_dev

2 years ago

We are excited to announce a release candidate for #pandas 2.2.0 has just been released. If all goes well, we'll release #pandas 2.2.0 in about 2 weeks. Full list of changes and contributors: pandas.pydata.org/docs/dev/whats…

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pandas @pandas_dev

2 years ago

We're happy to announce the release of #pandas 2.1.4. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

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pandas @pandas_dev

2 years ago

We're happy to announce the release of #pandas 2.1.2. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

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pandas @pandas_dev

2 years ago

We're happy to announce the release of #pandas 2.1.1. 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!

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pandas @pandas_dev

2 years ago

Can #pandas be lazy? There has been some discussion and a proof of concept about it recently.

Nature is Amazing ☘️ @AMAZlNGNATURE

2 years ago

Can #pandas be lazy? There has been some discussion and a proof of concept about it recently.

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Kyle Barron kylebarron.dev on bsky @kylebarron2

2 years ago

@feliparagao I can't answer that: read the source code of every project you find interesting! For me I was a @pandas_dev user, wanted to improve IO support with Stata files, and dug into the code to figure out how it worked. My first pr 🥹 github.com/pandas-dev/pan…

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pandas @pandas_dev

2 years ago

This is the (much more efficient) workaround which you're encouraged to use instead - nice one @CaioLCastro ! Use `concat` a single time outside the loop, rather than multiple times inside it

Caio L. de Castro @CaioLCastro

2 years ago

This is the (much more efficient) workaround which you're encouraged to use instead - nice one @CaioLCastro ! Use `concat` a single time outside the loop, rather than multiple times inside it

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pandas @pandas_dev

2 years ago

#pandas has two internal ways to store strings: NumPy and PyArrow (faster). pandas 3.0 will change the default and strings will use PyArrow when for example calling read_csv. You can get this change now in pandas 2.1 with: pandas.options.future.infer_string = True

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pandas @pandas_dev

2 years ago

We're happy to announce the release of #pandas 2.1.0. 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!

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pandas @pandas_dev

2 years ago

Do you know how to extend #pandas with a fast language like #rustlang? Core developer @datapythonista shows you how in this step by step tutorial at @EuroSciPy. m.youtube.com/watch?v=iUEzNm…

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pandas @pandas_dev

2 years ago

Do you want to learn more about #pandas 2.0 and beyond? Core developers @jorisvdbossche and Richard Shadrach gave a talk about it at @EuroSciPy. youtu.be/NK7RuG4rQpI

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pandas @pandas_dev

2 years ago

We are better than SQL. Except when SQL is better.

notlinear @notlinear1

2 years ago

We are better than SQL. Except when SQL is better.

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pandas @pandas_dev

2 years ago

Artificial intelligence may not be so intelligent if it uses pandas .apply() when not strictly necessary. Our operations are usually vectorized (very fast), .apply() is usually not, so it may be very slow. Avoid loops and apply if a pandas operation exists for what you need.