
Dask
@dask_dev
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Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
Joined July 2017
RT @xarray_dev: Read about the latest improvement to with Dask: Thanks to Patrick Hoefler….
xarray.dev
Recent dask improvements make GroupBy.map a lot better!
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Unfortunately we've had some spam on the Dask Community Forum recently. To combat this we've limited logins to GitHub OAuth. If you previously signed up with email/password please login with a GitHub account with the same email. More info here
dask.discourse.group
Hi, in order to prevent the problem mentionned by @jacobtomlinson, we completly disabled login by email/password. Existing users will still be able to login if they have a Github or a Google account...
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RT @giswqs: Introducing a new Python package called dask-ee! It can turn an #EarthEngine Feature Collection into a #dask DataFrame with one….
github.com
Google Earth Engine Feature Collections via Dask Dataframes - alxmrs/dask-ee
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Dask DataFrame is now 20x faster. Some of most prominent changes include:.- Apache Arrow support in @pandas_dev .- Better shuffling algorithm for faster joins.- Automatic query optimization. Learn more:
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Are you using Dask in your projects? The rest of the community would love to hear about it!. Come and give an informal demo at our next community meeting on June 6th. Demo sign up issue is here
github.com
Next Demo Day: December 5th See what the Dask community has been up to, or share some Dask work of your own. Demos are short and informal (~5-10 minutes). Have something you'd like to share? Le...
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We had some great talks at last month's Dask Demo Day like dask on @databricks, scaling embedding pipelines with @llama_index and deploying @PrefectIO on the cloud. Join the next one this Thursday, 11am ET Watch the recording:
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RT @mrocklin: I'm updating the homepage and could use quotes from happy Dask users that don't mind having their nam….
dask.org
Dask is a flexible open-source Python library for parallel computing maintained by OSS contributors across dozens of companies including Anaconda, Coiled, SaturnCloud, and nvidia.
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Query planning for Dask Dataframe released. Dask dataframe is pretty fast now, even when folks write less-than-perfect code. $ pip/conda/uv/mamba install dask.
github.com
The latest release 2024.3.0 enabled query planning for DataFrames by default. This issue can be used to report feedback and ask related questions. If you encountered a bug or unexpected behavior, p...
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Join us for Dask Demo Day to see how to deploy @databricks on Dask, run @PrefectIO workflows in the cloud, and scale embedding pipelines. 🗓️February 15 (today!).⏰11am ET.
github.com
When Thursday, February 15, at 10am US CT (meeting invite below and also on the Dask calendar) Agenda @jrbourbeau deploying Prefect workflows on the cloud with Coiled @jacobtomlinson deploying Dask...
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RT @MarcSkovMadsen: 📢Really happy to announce the "Scaling with Dask guide" for @Panel_org. 🤝In many ways @Panel_org and @dask_dev is a pe….
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Join us for Dask demo day and hear talks on @ApacheBeam on Dask, recent work on a high level expression system for Dask Array, and how Dask compares to Spark in the 1BRC. 🗓️ January 18 (today!).⏰11am US Eastern
github.com
When Thursday, January 18, at 10am US CT (meeting invite below and also on the Dask calendar) Agenda @cisaacstern (and maybe @jacobtomlinson) Apache Beam DaskRunner @mrocklin Array expressions @sch...
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