If you're into data science, you've probably heard about Dask.

It's a package that feels like familiar APIs such as Numpi, Pandas, and Siket 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 takes some setup to execute in its full glory.

That's why Matthew Rockland has teamed up with Hugo Bound Anderson and others to launch a business to help Python-loving data scientists run task workloads in the cloud.

And they're here to tell us all about how they've built this open source foundational business.

And you know what?

They must be on to something.

Between recording and releasing this episode,

they just raised $5 million in VC funding.

This is Talk Python to me.

Episode 285 recorded August 12th, 2020.

Music Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

This is your host, Michael Kennedy.

Follow me on Twitter where I'm at M. Kennedy. Keep up with the show and listen to past episodes at talk python.fm. And follow the show on Twitter via at talk python. This episode is brought

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