Wes McKinneyVerified account

@wesmckinn

Director of OSS not-for-profit focused on . Created pandas, . PMC. Wrote Python for Data Analysis.

Nashville, TN
wesmckinney.com
Joined February 2010
212 Photos and videos Photos and videos

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  1. Pinned Tweet
    Feb 20

    It's alive: A forum for discussions among developers of different open source data projects. If you are experienced with Discourse and want to help admin / configure / moderate to help this bootstrap let me know over DM.

    3 replies 67 retweets 195 likes
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  2. Oct 15

    Voted early in person in Nashville. Please go vote!

    4 replies 5 retweets 197 likes
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  3. Retweeted
    Oct 11

    .'s Quarantine DB Talk on is here: Arrow is clearly the future. DBMSs are no longer center of the universe. Every DBMS must support data science ecosystem. + designed our new DBMS from the start based on Arrow

    2 replies 33 retweets 124 likes
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  4. Oct 10

    It's too bad this article missed the fact that we have an extremely fast multithreaded C++ CSV parser in

    1 reply 12 retweets 101 likes
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  5. Retweeted
    Oct 8

    Congratulations to Apache Superset (incubating) for winning 's for the Most Innovative Open Source Projects & Next Generation Tools! Go Apache!

    23 retweets 42 likes
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  6. Oct 8

    I'll be speaking on October 21 about at the fall virtual conference

    2 retweets 25 likes
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  7. Retweeted
    Oct 7
    Replying to

    Always lowercase. Officially documented at , under “Brand and Logo” :)

    1 reply 2 retweets 12 likes
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  8. Retweeted
    Oct 6

    We've got new Ibis tutorials. 🎉🎉🎉 Learning how to perform data analysis in Python directly querying SQL databases or big data systems is now easier than ever.

    1 reply 19 retweets 47 likes
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  9. Retweeted
    Oct 5

    Today's Quarantine Database Speaker: will discuss Flight. Zoom talk is open to the public at 5:00pm ET. YouTube video will be available afterwards.

    7 retweets 43 likes
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  10. Oct 4

    Video of my 14-minute keynote from the about the need to improve our single-node computational foundations in addition to making it easier to do distributed computing in Python "Scalable Python We Can Afford"

    4 replies 46 retweets 150 likes
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  11. Retweeted
    Oct 1

    Huge Quarantine DB talk on Mon Oct 5th @ 5pm EDT: (aka MC ) will talk about 's transport for fast export of columnar data. Zoom talk is open to public:

    1 reply 19 retweets 97 likes
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  12. Retweeted
    Oct 1

    Wes has dedicated his career to building open source data science tools from pandas to . Read more about Wes' journey building the sustainable future open source deserves—and what he's doing to challenge the status quo.

    9 replies 43 retweets 142 likes
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  13. Retweeted
    Sep 29

    Ibis is a really cool project that could definitely use more love!

    Join us for an Ibis open source sprint, and make your first contribution. 🥳 Thanks for leading the sprint, and for the support. Register at:
    4 retweets 8 likes
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  14. Sep 30

    Excited to see more Python data platform startups!

    We're excited to launch Coiled Cloud and to announce our recent funding. "Dask and scalable data science for everyone, everywhere."
    Show this thread
    7 retweets 56 likes
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  15. Sep 25

    Absentee voting in Tennessee

    2 replies 9 likes
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  16. Retweeted
    Sep 23

    I’m proud to announce that my latest book, Data Teams, is available for purchase. It covers the three teams you need for analytics and how they should work with the rest of the business.

    2 replies 18 retweets 43 likes
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  17. Sep 24

    Ibis is a very accessible project to contribute to, recommend joining!

    Join us for an Ibis open source sprint, and make your first contribution. 🥳 Thanks for leading the sprint, and for the support. Register at:
    11 retweets 24 likes
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  18. Retweeted
    Sep 20

    Wes during his Goldeneye career achieved 31 world records one of which was untied when set. His timespage has remained inactive since 2001 but still ranks 144th in the world on the time ranks.

    i grew up here
    2 replies 6 retweets 59 likes
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  19. Sep 19

    i grew up here

    16 replies 14 retweets 261 likes
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  20. Sep 18

    RESIST

    1 reply 7 retweets 111 likes
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  21. Retweeted
    Sep 16

    A few things I think were done right in that Snowflake paper in 2016 (reporting on 4-year old work!): 1. They got the ergonomics of the cloud early (for the space). Elasticity is a core feature. Storage is no longer a 'you' problem. Cost is compute-as-you go.

    4 replies 43 retweets 160 likes
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