# Pangeo Showcase: "Zarr-Python 3 and why you should be excited!"

**URL:** <https://discourse.pangeo.io/t/pangeo-showcase-zarr-python-3-and-why-you-should-be-excited/4111>\
**Category:** Pangeo Showcase\
**Created:** [March 19, 2024, 7:26pm UTC](https://discourse.pangeo.io/t/pangeo-showcase-zarr-python-3-and-why-you-should-be-excited/4111 "2024-03-19T19:26:01Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![emfdavid](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pangeo.io/emfdavid/32/2598_2.png) [@emfdavid](https://discourse.pangeo.io/u/emfdavid)\
**Post date:** [March 20, 2024, 6:08pm UTC](https://discourse.pangeo.io/t/pangeo-showcase-zarr-python-3-and-why-you-should-be-excited/4111/3 "2024-03-20T18:08:14Z")

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Really excited to watch the talk. I am sorry I can’t make it today.  
If you could comment on how parallelization might be handled in zarr-python3 I would love to learn more. I have [hacked](https://discourse.pangeo.io/t/pangeo-showcase-optimizations-for-kerchunk-aggregation-and-zarr-i-o-at-scale-for-machine-learning/4074) a solution into the existing zarr-python stack in chunk\_getitems that provides tremendous gains for my specific use case, but I hope there will be a generalized solution in zarr python3.

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_[View the full topic](https://discourse.pangeo.io/t/pangeo-showcase-zarr-python-3-and-why-you-should-be-excited/4111)._