#334: Microsoft Planetary Computer

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 18 September 2021

⏱️ 60 minutes

🔗️ Recording | iTunes | RSS

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Summary

On this episode, Rob Emanuele and Tom Augspurger join us to talk about building and running Microsoft's Planetary Computer project. This project is dedicated to providing the data around climate records and the compute necessary to process it with the mission of help use all understand climate change better. It combines multiple petabytes of data with a powerful hosted Jupyterlab notebook environment to process it.

Transcript

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0:00.0	On this episode, Rob Emanuel and Tom Augsberger join us to talk about building and running Microsoft's Planetary Computer Project.
0:07.6	This project is dedicated to providing the data around climate records and the compute necessary to process it with the mission of helping us all understand climate change better.
0:16.5	It combines multiple petabytes of data with a powerful hosted Jupiter Lab notebook environment to process it.
0:24.8	This is Talk Python.
0:25.9	Episode 334 recorded September 9th, 2021. Welcome to Talk Python, a weekly podcast on Python. This is your host, Michael Kennedy. Follow me on Twitter
0:49.6	where I'm at M. Kennedy and keep up with a show and listen to past episodes at talk python.fm.
0:54.8	And follow the show on Twitter via at Talk Python.
0:58.1	We've started streaming most of our episodes live on YouTube.
1:01.7	Subscribe to our YouTube channel over at TalkPython.fm slash YouTube to get notified about upcoming
1:06.9	shows and be part of that episode.
1:09.3	This episode is brought to you by Shortcut, formerly known as clubhouse.io, and us over at
1:15.1	Talk Python Training.
1:16.5	And the transcript are brought to you by Assembly AI.
1:20.0	Rob Tom, welcome to Talk Python to me.
1:22.7	Thank you.
1:23.2	It's good to have you both here.
1:24.3	We get to combine a bunch of fun topics and important topics,
1:29.5	data science, Python, the cloud, big data, as in physically lots of data to deal with. And then
1:36.2	also climate change and being proactive about studying that, make predictions and do science
1:42.0	on huge amounts of data. For sure. Looking forward to it.
1:44.3	Yeah, that'll be fun.
1:45.1	Yeah, absolutely.
	...

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