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Dask as a Platform Service with Coiled

Episode #285, published Fri, Oct 9, 2020, recorded Wed, Aug 12, 2020.

This episode is carbon neutral.
If you're into data science, you've probably heard about Dask. It's a package that feels like familiar APIs such as Numpy, Pandas, and Scikit-Learn. Yet it can scale that computation across CPU cores on your local machine all the way to distributed grid-based computing in large clusters.

While powerful, this may take some serious setup to execute in its full glory. That's why Matthew Rocklin has teamed up with Hugo Bowne-Anderson and others to launch a business to help Python loving data scientists run Dask workloads in the cloud. And they are here to tell us about they open-source foundation business.

And they must be on to something, between recording and releasing this episode, they raised $5M in VC funding.

Links from the show

Hugo on Twitter: @hugobowne
Matthew on Twitter: @mrocklin
Coiled: coiled.io
Coiled raised $5M in Sept: twitter.com
A brief history of dask article: coiled.io/blog
Coiled: Dask for Everyone, Everywhere: medium.com
The incredible growth of python: stackoverflow.blog
Growth updated (SO Trends current): insights.stackoverflow.com
Coiled Youtube channel: youtube.com
Snorkel package: pypi.org
Episode transcripts: talkpython.fm

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