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  1. ретвітнув(ла)
    16 лют.

    In my latest article, learn about techniques for Efficiently Cleaning Text with Pandas.🐼 I explore several approaches for cleaning large text data sets and hope you find a couple useful tips for your own analysis.

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  2. ретвітнув(ла)
    20 січ.

    In case you missed our event: Contributing to pandas 💻 🗣️Speaker :Marco Gorelli Check out the link below And, subscribe to our YouTube channel for more videos:📹

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  3. 19 січ.

    TL;DR -> pip/conda install openpyxl Many thanks to the openpyxl team for this great library!

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  4. 19 січ.

    Openpyxl is not yet supported for a long time in pandas for reading excel files, so if you encounter any issues when switching from xlrd to openpyxl, please report them! ->

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  5. 19 січ.

    Starting with pandas 1.2, we use "openpyxl" by default if available, and otherwise raise a warning. "xlrd" is still supported for reading old .xls files (thanks to for maintaining it!).

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  6. 19 січ.

    ⚠️ Important note for pandas users reading excel files! ⚠️ Please ensure you have the "openpyxl" package installed. Previously, pandas used the "xlrd" package by default. But "xlrd" is only meant to read old xls files, not for .xlsx files. See warning at

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  7. ретвітнув(ла)
    16 січ.

    Last call for our paid open-source apprenticeship program! Applications due Monday.

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  8. ретвітнув(ла)
    11 січ.

    Do you export a pandas DataFrame to Excel so you can view your data? Check out my latest article for an overview of Pandas DataFrame Visualization Tools. Each solution makes this process easier.

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  9. 11 січ.

    Check out this webinar from with one of our maintainers on a few things going on in pandas land. Thanks for organizing!

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  10. 7 січ.

    It's already 2 weeks out, but the end of last year saw a new pandas release! Pandas 1.2.0 is out: Check the release notes: Thanks to our community and the 250+ code contributors who made this release possible!

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  11. ретвітнув(ла)
    6 січ.

    The Xarray 2021 User Survey is out! Please take ~5 minutes to help my developers make me even better!

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  12. 14 груд. 2020

    Release candidate for pandas 1.2.0 is now available for testing! Please try it out and report any issues. See the announcement for how to install it: What's new:

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  13. ретвітнув(ла)
    8 груд. 2020

    📢 Our next event: Contributing to Pandas 💻 🗣️ Marco Edward Gorelli 📅 Tues Dec, 15th ⏰ 9am PST / 12pm EST/ 8pm EAT / 10:30pm IST ➕ Time-zone friendly ➕Thank you to our sponsor: Registration info:

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  14. ретвітнув(ла)
    10 груд. 2020

    I'm excited to announce that we've formed Ursa Computing , to continue the Ursa Labs mission for Apache Arrow-powered data science tools and to build new products to make enterprise data work faster and more efficient. Read more:

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  15. ретвітнув(ла)
    8 груд. 2020

    Want to write custom and fast string functions like Levenshtein distance for ? In my latest blogpost I show how you can to do that for fletcher and the upcoming -backed str-type in pandas:

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  16. 20 лист. 2020

    We're pleased to share that pandas received funding from ! This will fund more maintenance and more work on pandas' nullable dtypes. Read more at

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  17. 29 жовт. 2020

    Python 3.9 wheels are now available on PyPI for pandas 1.1.3. Thanks to Matthew Brett and the other multibuild maintainers for help with the builds!

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  18. ретвітнув(ла)
    19 жовт. 2020

    is a game-changer when it comes to analyzing with . Tune into our this Friday with @datapythonista who will dive deep into the pandas project. Register here:

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  19. ретвітнув(ла)
    19 жовт. 2020

    Do you use with string columns? Do you have code posted publicly that is not as fast as you would like? Please share! We will make strings faster in soon but it would be nice to have real world benchmarks alongside that work.

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  20. ретвітнув(ла)
    22 вер. 2020

    Help us shape the future of development. We're launching our first GeoPandas User Survey! It takes 5-10 minutes. After we close it in about a month, we will share the results with you. Thank you!

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