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  • shoyer · 4 ✖

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  • xarray contrib module · 4 ✖

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483336107 https://github.com/pydata/xarray/issues/1850#issuecomment-483336107 https://api.github.com/repos/pydata/xarray/issues/1850 MDEyOklzc3VlQ29tbWVudDQ4MzMzNjEwNw== shoyer 1217238 2019-04-15T17:03:27Z 2019-04-15T17:03:27Z MEMBER

@teoliphant thanks for sharing your thoughts!

I would be very happy to collaborate on what a protocol for labeled arrays in Python could look like. Xarray is one useful implementations of labeled arrays, but it's definitely not the only one.

 
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   xarray contrib module 290593053
483333879 https://github.com/pydata/xarray/issues/1850#issuecomment-483333879 https://api.github.com/repos/pydata/xarray/issues/1850 MDEyOklzc3VlQ29tbWVudDQ4MzMzMzg3OQ== shoyer 1217238 2019-04-15T16:57:08Z 2019-04-15T16:57:08Z MEMBER

For what it's worth, TensorFlow has decided that bundling contrib modules into TensorFlow as tensorflow.contrib was a big mistake. It helped with discoverability, but resulted in a lot of confusion about what is a supported API and what isn't.

 
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   xarray contrib module 290593053
368201831 https://github.com/pydata/xarray/issues/1850#issuecomment-368201831 https://api.github.com/repos/pydata/xarray/issues/1850 MDEyOklzc3VlQ29tbWVudDM2ODIwMTgzMQ== shoyer 1217238 2018-02-24T05:30:01Z 2018-02-24T05:30:01Z MEMBER

Personally I'd rather have "awesome xarray" listed somewhere prominently in the xarray docs, along with mentions inline in the docs anywhere where they are particularly relevant . The very short list that is currently there is based upon a handful of projects that I knew about a few years ago, but it's definitely woefully out of date now. On Fri, Feb 23, 2018 at 9:23 PM Noah D Brenowitz notifications@github.com wrote:

@maxim-lian https://github.com/maxim-lian There is a very short list of such packages hidden in the xarray documention http://xarray.pydata.org/en/stable/internals.html?highlight=xgcm#extending-xarray .

In general, there are a ton of these awesome-... repos floating around the internet which just list the useful/related tools/libraries which are related to ... . For example, there are repos out there like awesome-python https://github.com/vinta/awesome-python and awesome-bash. Maybe someone could start an awesome-xarray package.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/1850#issuecomment-368201527, or mute the thread https://github.com/notifications/unsubscribe-auth/ABKS1oUunEGU95WyDsCgTYpuXKdybftIks5tX5y4gaJpZM4RoiXN . 

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   xarray contrib module 290593053
359959683 https://github.com/pydata/xarray/issues/1850#issuecomment-359959683 https://api.github.com/repos/pydata/xarray/issues/1850 MDEyOklzc3VlQ29tbWVudDM1OTk1OTY4Mw== shoyer 1217238 2018-01-23T22:54:51Z 2018-01-23T22:54:51Z MEMBER

I think domain specific dependencies are a pretty decisive argument in favor of the separate repository model.

TensorFlow doesn't relax its code quality standards for contrib packages -- it's more about reducing guarantees of API stability or maintenance. That works OK for TensorFlow in part because the authors of most contrib packages are Google software engineers.

 
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   xarray contrib module 290593053

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