ApacheArrow

@ApacheArrow

Columnar In-Memory Analytics

Cacheland
arrow.apache.org
Se unió en febrero de 2016
3 fotos y videos Fotos y vídeos

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  1. retwitteó
    2 abr.

    New Blog Post: How we enabled to create pandas DataFrame objects faster than pandas itself (sometimes)

    3 respuestas 39 retweets 187 Me gusta
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  2. retwitteó
    9 abr.

    Go faster button enabled! Connector for Version 2.6 Turbocharges Reads with ❄️

    2 retweets 6 Me gusta
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  3. 13 feb.

    The 0.16.0 release of will be the last one to support Python 2.7. The Python 2.x language has served us well for nearly 20 years but it is time to say goodbye

    10 retweets 25 Me gusta
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  4. 12 feb.

    We have released 0.16.0 with 735 issues resolved from 99 contributors. Read more about what's new since the last major release in October '19

    1 respuesta 30 retweets 91 Me gusta
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  5. retwitteó
    10 dic. 2019

    明日の夜はApache Arrow東京ミートアップ2019だよ！ Apache Arrow 1.0.0がそろそろ出そうだからそろそろ使い始めたほうがいいんじゃないかな！私はApache Arrowのことを知らない人向けに最新情報を紹介するよ！

    9 retweets 15 Me gusta
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  6. 9 dic. 2019

    We now have Python 3.8 wheel support out of git master in , will be available from PyPI in next major release

    4 retweets 17 Me gusta
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  7. 5 nov. 2019

    This week we made a patch release 0.15.1 of containing over 30 critical bug fixes. Recommended upgrade for all users

    17 retweets 35 Me gusta
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  8. retwitteó
    5 nov. 2019

    This afternoon NYC 2019 (3:45 PM ET), Senior Software Engineer will demonstrate how to use 🐍 and in order to quickly read esoteric into so it can be analyzed elegantly

    3 retweets 8 Me gusta
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  9. 17 oct. 2019

    We noticed a deployment hiccup where JS 0.15.0 didn't 100% make its way into NPM. We're working on fixing

    5 Me gusta
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  10. 15 oct. 2019

    Do you have the need for speed? Learn more about Flight, our new framework for fast data transport

    1 respuesta 33 retweets 103 Me gusta
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  11. 7 oct. 2019

    If you are using + together, please be sure to read the release notes for 0.15.0, since you must take some actions to be able to use pyarrow==0.15.0 with Spark pinned to an older Java library

    7 retweets 15 Me gusta
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  12. 7 oct. 2019

    We have just released 0.15.0 with 687 resolved issues from 80 distinct contributors! It concludes ~3 months of development and has many new features, bug fixes, and performance improvements Read more:

    29 retweets 78 Me gusta
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  13. 9 sept. 2019

    We have some big C++ Parquet optimizations coming in version 0.15.0 to improve string performance and memory use, especially on dictionary-encoded data (e.g. pandas Categorical, R factor). Read more:

    19 retweets 86 Me gusta
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  14. 20 ago. 2019

    Some of our Python wheels (e.g. Windows) are are risk of being broken for the upcoming 0.15.0 release as they do not currently have active maintainers. Do you depend on "pip install pyarrow"? We need your help!

    2 respuestas 28 retweets 31 Me gusta
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  15. 8 ago. 2019

    We are now on CRAN! It took a village to make it possible Read files, faster Feather support, and much more. Note: we're still working out some kinks for macOS users.

    5 respuestas 99 retweets 258 Me gusta
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  16. 8 jul. 2019

    We're aware of some OpenSSL-related issues people are having with the 0.14.0 Python wheels (which now include the gRPC-powered Flight extension), if you run into this we recommend using conda until we can get a 0.14.1 patch release out

    4 retweets 6 Me gusta
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  17. 8 jul. 2019

    We have just released version 0.14.0 after 3 months of development and 602 resolved issues! Read more about what's new in the project:

    1 respuesta 31 retweets 61 Me gusta
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  18. 4 abr. 2019

    We added 4 new committers and 1 new PMC member since January, see the whole list in our 0.13.0 announcement

    1 retweet 5 Me gusta
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  19. 2 abr. 2019

    We have just released version 0.13.0, including 550 resolved issues from 2 months of development. Read about what's new

    37 retweets 77 Me gusta
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  20. retwitteó
    8 mar. 2019

    Here's the video recording of my talk earlier this week, talking about how is using and

    2 respuestas 9 retweets 34 Me gusta
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