Official account of the pandas project
Joined July 2018
- Tweets 271
- Following 19
- Followers 30,323
- Likes 157
31 Photos and videos
pandas retweeted
Jan 27
pandas 3 has been released and marks the most significant evolution of #pandas in over ten years.
No more `copy()` everywhere, and no more `lambda` gymnastics.
Want examples? Read this hands-on article with the main changes: datapythonista.me/blog/whats…
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8 Jun 2025
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/whats…
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3 Oct 2024
Hey we're the fastest at writing 2300 Parquet files, we can do it in 0 minutes!
Oh, wait
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pandas retweeted
13 Jun 2024
For a second I thought this headline was about @pandas_dev and was like HELLSSS YEAH!
sfstandard.com/2024/06/12/sa…
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10 Apr 2024
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/whats…
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23 Feb 2024
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/whats…
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pandas retweeted
23 Feb 2024
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-f…
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22 Jan 2024
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/whats…
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22 Dec 2023
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/w…
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8 Dec 2023
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/whats…
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28 Oct 2023
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/whats…
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21 Sep 2023
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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16 Sep 2023
Can #pandas be lazy?
There has been some discussion and a proof of concept about it recently.
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pandas retweeted
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/pandas…
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5 Sep 2023
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
4 Sep 2023
we use a hybrid approach. Append to a list, and then concat.
res = []
for x in itersomething:
res.append(calculations)
pd.concat(res)
df.append is gruesomely inefficient so maybe it is best to remove
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1 Sep 2023
#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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31 Aug 2023
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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31 Aug 2023
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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29 Aug 2023
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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25 Aug 2023
We are better than SQL.
Except when SQL is better.
21 Aug 2023
am i the only one who likes both pandas and SQL
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