Dask

@dask_dev

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

dask.org
Unit: juliol de 2017
49 fotos i vídeos Fotos i videos

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  1. ha retuitat
    31 d’ag.

    Lazy loading, browsing a 1.4 Gb LIF using thanks to AICSImage python module making a array. Just amazing! 🚀🔥 (Widget based on code from )

    2 respostes 9 retuits A 20 els agrada
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  2. ha retuitat
    31 d’ag.

    A recent change in triggered an upstream CI build in to fail, which resulted in an update to sparse. This is what a community working together looks like.

    1 resposta 3 retuits A 29 els agrada
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  3. 2 de set.

    "Nothing fancy" I've never been so proud ☺️ Good software doesn't shine. If does it's job and gets out of the way.

    And in terms of environment nothing fancy but I took the occasion to leverage for the data processing and + to build a report on the status of the data used
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    1 resposta 2 retuits A 25 els agrada
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  4. ha retuitat
    27 d’ag.

    Shout-out to for all the maintenance work he's been doing lately in the org! I woke up this morning to 20+ GitHub notifications for closed issues and PRs 🥰🥰🥰.

    3 respostes 3 retuits A 32 els agrada
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  5. ha retuitat
    26 d’ag.

    CuPy v10.0.0b2/v9.4.0 has just been released. We bring support for CUDA Python in the v10 series and increased SciPy/NumPy compatibility thanks to GSoC’21! Check the release notes here and don't forget to star on GitHub!

    29 retuits A 154 els agrada
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  6. 23 d’ag.

    We'd like to thank for all his hard work during google summer of code

    A 6 els agrada
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  7. 23 d’ag.

    New blogpost! Read about 's work improving visualizations here:

    2 respostes 2 retuits A 17 els agrada
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  8. ha retuitat
    18 d’ag.

    The first release of dask-sql as a -contrib member is out! Special thanks to rajagurunath for implementing all the cool new ML features and thanks to the community for accepting dask-sql as a contrib package!

    1 resposta 2 retuits A 38 els agrada
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  9. ha retuitat
    13 d’ag.

    looks like a biology, but no it is astrophysics 🥰🙃

    3 respostes 2 retuits A 12 els agrada
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  10. ha retuitat
    12 d’ag.

    With 140+ responses now received for the census, I'm trying to summarise the "PyAOS stack" in one simple plot. Not an easy task!

    , , i 3 més
    3 respostes 12 retuits A 46 els agrada
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  11. ha retuitat
    25 de juny

    The recording or our workshop/discussion on scaling up vector geospatial analysis with and is now online

    Videos from the 2021 Dask Summit are up online! See them here:
    1 resposta 16 retuits A 38 els agrada
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  12. ha retuitat
    10 d’ag.

    Currently playing with 37GB (🤯) of MHD simulation files, and using + to do lazy computations on them is pure magic! 🪄

    4 respostes 2 retuits A 24 els agrada
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  13. ha retuitat
    10 d’ag.

    Confused about choosing a good chunk size for arrays? Array chunks can't be too big (we'll run out of memory), or too small (the overhead introduced by Dask becomes overwhelming). So how to get it right? A thread...

    1 resposta 37 retuits A 125 els agrada
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  14. ha retuitat
    6 d’ag.

    ✍️ dask-sql (a distributed SQL query engine in Python) dask-sql documentation 👤 Nils Braun ; Dask 🔗

    21 retuits A 41 els agrada
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  15. ha retuitat
    27 de jul.

    What I really appreciate about : I slapped together , , , , into a module to do & & everything is compatible. Obviously a ton of effort by many open source volunteers & so awesome. And year after year it gets even better

    3 retuits A 16 els agrada
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  16. ha retuitat
    28 de jul.
    En resposta a i

    You are not alone! This is a common enough pain point that Dask has its own built-in PipInstall plugin

    1 resposta 3 retuits A 8 els agrada
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  17. ha retuitat
    26 de jul.

    Check out our recent talk on cuCIM from 2021.

    1 resposta 9 retuits A 22 els agrada
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  18. ha retuitat
    23 de jul.

    So BlenderNC, my other open-source project just had a major (minor) version release with NetCDF, GRIB and Zarr support. All via and . Please check it out if you are into global climate/weather dataviz :

    1 resposta 12 retuits A 38 els agrada
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  19. ha retuitat
    18 de jul.

    A guide of how I optimized to analyze big datasets using just a laptop: efficiently looping via vectorization, tweaking dtypes, and using . 🐍

    1 resposta 18 retuits A 63 els agrada
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  20. 15 de jul.

    Attending and interested in ? Swing by the virtual booth between 2:55-4:00 PM CT today to catch with Dask core maintainer !

    8 retuits A 23 els agrada
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