
Coiled
@CoiledHQ
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Scale Python with Dask
Everywhere
Joined February 2020
RT @black_dot_box: @CoiledHQ ~5 years ago I worked at a startup where we had multiple engineers screwing around for months with Terraform,….
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Calculating quantiles, a common application in.#geospatial workloads, used to be slow due to GIL contention in NumPy. The new implementation in @dask_dev + @xarray_dev is up to a hundred times faster and scales independently of the number of threads 🥳.
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RT @nazari_goudin: @CoiledHQ is amazing. If you want to have distributed compute and provisioned infrastructure from the code - its easy a….
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RT @arpit__bansal: Implemented @CoiledHQ into our product to offload data syncing from BigQuery to Neo4j 🤯. Works like butter 🧈. Now I don’….
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RT @EarthmoverHQ: Arraylake and @CoiledHQ work great together! You can use Coiled to manage your cloud computing infrastructure with @dask_….
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RT @dask_dev: Dask DataFrame is now 20x faster. Some of most prominent changes include:.- Apache Arrow support in @pandas_dev .- Better shu….
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RT @anthonywu: Recommendation of the day: `coiled notebook start` to run a remote Jupyter Lab from big machines in cloud but with file sync….
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RT @xhochy: On the 14th of May, @quantcotech Karlsruhe will host the next @PyDataSW Meetup. Florian Jetter will join us to talk about @dask….
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