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62 results for “dholth”

  1. Now available, github.com/dholth/fzstdpy cc @emmatyping
    Do with it what you will!

  2. My first article for Towards Data Science!

    How sharded repodata (CEP-16) makes conda and Pixi 10x faster with 90% less bandwidth on conda-forge.

    Thanks to Bas Zalmstra, @dholth, and the teams at @prefix, Anaconda, and Quansight.
    towardsdatascience.com/why-pac

    #PackageManagement #OpenSource #Python #Conda #Pixi #DataScience

  3. My first article for Towards Data Science!

    How sharded repodata (CEP-16) makes conda and Pixi 10x faster with 90% less bandwidth on conda-forge.

    Thanks to Bas Zalmstra, @dholth, and the teams at @prefix, Anaconda, and Quansight.
    towardsdatascience.com/why-pac

  4. My first article for Towards Data Science!

    How sharded repodata (CEP-16) makes conda and Pixi 10x faster with 90% less bandwidth on conda-forge.

    Thanks to Bas Zalmstra, @dholth, and the teams at @prefix, Anaconda, and Quansight.
    towardsdatascience.com/why-pac

    #PackageManagement #OpenSource #Python #Conda #Pixi #DataScience

  5. My first article for Towards Data Science!

    How sharded repodata (CEP-16) makes conda and Pixi 10x faster with 90% less bandwidth on conda-forge.

    Thanks to Bas Zalmstra, @dholth, and the teams at @prefix, Anaconda, and Quansight.
    towardsdatascience.com/why-pac

    #PackageManagement #OpenSource #Python #Conda #Pixi #DataScience

  6. My first article for Towards Data Science!

    How sharded repodata (CEP-16) makes conda and Pixi 10x faster with 90% less bandwidth on conda-forge.

    Thanks to Bas Zalmstra, @dholth, and the teams at @prefix, Anaconda, and Quansight.
    towardsdatascience.com/why-pac

    #PackageManagement #OpenSource #Python #Conda #Pixi #DataScience

  7. Initial benchmarks are out! Decompression of a 150mb file takes 3 minutes 11 seconds on Python 3.14; 5 seconds on pypy; and 0.064s with the reference "zstd" implementation!

  8. Remember it's important to have good food at the conference, because a python travels on its stomach

  9. @dhothersall and it is exactly the same people who are drawing attention to each of these "divisions". Curious, that.

    #55TuftonStreet

  10. Through a look into the things people were saying about the upcoming Go 1.21 release I discovered #doltdb and #dolthub today. I have been looking for ages for something like that:

    A #mysql compatible database system that works like #git for data, and a #github like environment for #datasets, free for public datasets.

    For people here struggling with #healthcare in the #USA: one of the projects they are working out there is a dataset of pricing per hospital and data-based work to push for more and better policy reform around this. I think we can do MUCH better if we have good #data, and now we have a platform to share and work together about data, so let's use it!

  11. Through a look into the things people were saying about the upcoming Go 1.21 release I discovered #doltdb and #dolthub today. I have been looking for ages for something like that:

    A #mysql compatible database system that works like #git for data, and a #github like environment for #datasets, free for public datasets.

    For people here struggling with #healthcare in the #USA: one of the projects they are working out there is a dataset of pricing per hospital and data-based work to push for more and better policy reform around this. I think we can do MUCH better if we have good #data, and now we have a platform to share and work together about data, so let's use it!

  12. Through a look into the things people were saying about the upcoming Go 1.21 release I discovered #doltdb and #dolthub today. I have been looking for ages for something like that:

    A #mysql compatible database system that works like #git for data, and a #github like environment for #datasets, free for public datasets.

    For people here struggling with #healthcare in the #USA: one of the projects they are working out there is a dataset of pricing per hospital and data-based work to push for more and better policy reform around this. I think we can do MUCH better if we have good #data, and now we have a platform to share and work together about data, so let's use it!