Stefan Karpinski

@StefanKarpinski

Co-creator and core developer of the Julia programming language. Data scientist and applied mathematician.

New York, NY
karpinski.org
Joined February 2009
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  1. Retweeted
    Aug 19

    Without comment

    225 replies 11,292 retweets 33,689 likes
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  2. Retweeted
    Aug 18

    Why choose? Use them all! But first: open standards for data and code sharing (e.g. )

    Should data scientists using R and Python switch over to Julia?
    8 replies 66 retweets 369 likes
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  3. Retweeted
    Aug 17

    Ooh this neat! I strongly believe that is an excellent language to learn computer programming in! It is highly productive and does not hide things from you.

    14 retweets 42 likes
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  4. Retweeted
    Aug 17

    It seems the Visa fraud detection AI didn't find a 70 y.o. retired stats prof in WI spending $2K on tickets to a rap concert in DE to be "unusual ". Perhaps a bit more training of the algorithm is in order.

    7 replies 13 retweets 109 likes
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  5. Retweeted
    Aug 14

    Tomorrow at noon (EDT - Wed, Aug 15th), , , , Alan and I will be doing reddit AMA to answer the internet's questions about 1.0 (or anything else). Hope you can join us.

    2 replies 14 retweets 40 likes
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  6. Retweeted
    Apr 1

    I honestly don't understand why people find it acceptable to build workstations with 32+ GB of RAM... and don't use ECC they must hate accurate results and stable operation especially given that modern DRAM is already pushed well to, and sometimes past, its limit (rowhammer!)

    16 replies 106 retweets 253 likes
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  7. Aug 14

    Thank you to the and the for all the support. We could absolutely not have gotten to where we are today without it!

    Many congrats to on their 1.0 release! To everyone who worked on this: thank you for your diligence and hard work over all these years. Truly inspiring! grantee since 2015
    12 likes
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  8. Retweeted
    Aug 13

    was a huge success. Also the largest ever and the first time in Europe. It was great fun to see the usual faces, and so many new faces. Here's a wonderful group photo. It does not include Pontus, who took this wonderful picture.

    3 replies 31 retweets 112 likes
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  9. Retweeted
    Aug 9

    Congratulations to on their v1.0.0 release. 🎂 We hope to join you in the v1.0.0 club soon 👑

    1 reply 23 retweets 103 likes
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  10. Retweeted
    Aug 13

    1.0 released Aug 8, 2018 after 9 years in development. This photo is from the tagging moment. From left to right we have: Alan Edelman, , , , and Alex Arslan. Not in the photo are 350 attendees.

    5 replies 28 retweets 90 likes
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  11. Retweeted
    Aug 10

    Very excited to read this clarification by about upcoming M:N task:thread multiplexing in . better watch out 😉

    1 reply 6 retweets 21 likes
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  12. Retweeted
    Aug 10

    I am so glad I came to this year. Met so many interesting, smart, hardworking people and heard fantastic talks! I met Tim Besard, who developed the GPU packages I use everyday. Witnessed version 1.0! and most importantly, I got autograph from Gilbert Strang!!!

    2 replies 5 retweets 39 likes
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  13. Retweeted
    Aug 8

    Voting Software

    199 replies 11,401 retweets 18,568 likes
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  14. Retweeted
    Aug 9

    Announcing Julia 1.0 NumFOCUS congratulates the Julia community on their achievement of the much-anticipated 1.0 release—the culmination of nearly a decade of work

    2 replies 44 retweets 93 likes
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  15. Aug 10

    A lovely little piece on the release of 1.0 in : . It’s quite a good synopsis! Also hilarious that they use as the cover photo

    3 replies 10 retweets 28 likes
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  16. Retweeted
    Aug 7

    The release war room

    1 reply 15 retweets 62 likes
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  17. Retweeted
    Jul 5

    That $35 that scientific journals charge you to read a paper goes 100% to the publisher, 0% to the authors. If you just email us to ask for our papers, we are allowed to send them to you for free, and we will be genuinely delighted to do so.

    What‘s something that seems obvious within your profession, but the general public seems to misunderstand?
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    854 replies 55,840 retweets 132,788 likes
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  18. Retweeted
    Jul 28

    Efficient and Scalable in Julia.

    3 replies 66 retweets 212 likes
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  19. Retweeted
    Jul 23

    Very clear explanation of how biases arise in RNG algorithms:

    1 reply 11 retweets 32 likes
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  20. Retweeted
    Jul 18

    A description of the choices in the DifferentialEquations.jl API and their effects on the scientific community.

    11 retweets 36 likes
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