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62 results for “dholth”
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Now available, https://github.com/dholth/fzstdpy cc @emmatyping
Do with it what you will! -
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.
https://towardsdatascience.com/why-package-installs-are-slow-and-how-to-fix-it/#PackageManagement #OpenSource #Python #Conda #Pixi #DataScience
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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.
https://towardsdatascience.com/why-package-installs-are-slow-and-how-to-fix-it/#PackageManagement #OpenSource #Python #Conda #Pixi #DataScience
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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.
https://towardsdatascience.com/why-package-installs-are-slow-and-how-to-fix-it/#PackageManagement #OpenSource #Python #Conda #Pixi #DataScience
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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.
https://towardsdatascience.com/why-package-installs-are-slow-and-how-to-fix-it/#PackageManagement #OpenSource #Python #Conda #Pixi #DataScience
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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.
https://towardsdatascience.com/why-package-installs-are-slow-and-how-to-fix-it/#PackageManagement #OpenSource #Python #Conda #Pixi #DataScience
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Of course, there's a #PEP517 backend for #SCons, one of the most horrible build systems ever made by humankind.
Of course, it managed not to implement PEP517 correctly.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Rzecz jasna, że jest backend #PEP517 dla Sconsa, jednego z najgorszych systemów budowania w dziejach ludzkości.
Rzecz jasna, że nie implementuje poprawnie PEP517.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Rzecz jasna, że jest backend #PEP517 dla Sconsa, jednego z najgorszych systemów budowania w dziejach ludzkości.
Rzecz jasna, że nie implementuje poprawnie PEP517.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Of course, there's a #PEP517 backend for #SCons, one of the most horrible build systems ever made by humankind.
Of course, it managed not to implement PEP517 correctly.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Of course, there's a #PEP517 backend for #SCons, one of the most horrible build systems ever made by humankind.
Of course, it managed not to implement PEP517 correctly.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Rzecz jasna, że jest backend #PEP517 dla Sconsa, jednego z najgorszych systemów budowania w dziejach ludzkości.
Rzecz jasna, że nie implementuje poprawnie PEP517.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Of course, there's a #PEP517 backend for #SCons, one of the most horrible build systems ever made by humankind.
Of course, it managed not to implement PEP517 correctly.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Rzecz jasna, że jest backend #PEP517 dla Sconsa, jednego z najgorszych systemów budowania w dziejach ludzkości.
Rzecz jasna, że nie implementuje poprawnie PEP517.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Of course, there's a #PEP517 backend for #SCons, one of the most horrible build systems ever made by humankind.
Of course, it managed not to implement PEP517 correctly.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
Rzecz jasna, że jest backend #PEP517 dla Sconsa, jednego z najgorszych systemów budowania w dziejach ludzkości.
Rzecz jasna, że nie implementuje poprawnie PEP517.
https://discuss.python.org/t/are-build-backends-that-use-different-keyword-arguments-to-the-standard-spec-compliant/53056
https://github.com/dholth/enscons/issues/42 -
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!
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Remember it's important to have good food at the conference, because a python travels on its stomach #pyconUS
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@dhothersall and it is exactly the same people who are drawing attention to each of these "divisions". Curious, that.
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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!
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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!
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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!
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People Keep Inventing Prolly Trees https://lobste.rs/s/re0ogb #historical #merkle-trees
https://www.dolthub.com/blog/2025-06-03-people-keep-inventing-prolly-trees/