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Talk Python To Me

#357: Python and the James Webb Space Telescope

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 21 March 2022

⏱️ 63 minutes

🧾️ Download transcript

Summary

Telescopes have been fundamental in our understanding of our place in the universe. And when you think about images that have shaped our modern view of space, you probably think about Hubble. But just this year, the JWST or James Web Space Telescope, was launch. JWST will go far beyond what Hubble has discovered. And did you know Python is used extensively in the whole data pipeline of JWST? We have two great guests here to tell us about it: Megan Sosey and Mike Swam.

Transcript

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0:00.0

Telescopes have been fundamental in our understanding of our place in the universe.

0:04.3

And when you think about images that have shaped our modern view of space, you probably think about Hubble.

0:10.2

But just this year, the JWST or James Webb Space Telescope was launched.

0:15.7

JWST will go far beyond what Hubble has discovered.

0:18.8

And did you know that Python is used extensively

0:21.9

in the whole data pipeline of JWST?

0:24.9

We have two great guests here to tell us all about it,

0:27.7

Megan Sozi and Mike Swam.

0:29.5

This is Talk Pythonomy, episode 357, recorded February 23rd, 2022.

0:47.8

Music 23rd, 2022. Welcome to Talk Python, a weekly podcast on Python.

0:51.2

This is your host, Michael Kennedy.

0:53.0

Follow me on Twitter where I'm at M. Kennedy and keep up with a show and listen to past episodes at Talk Python. This is your host, Michael Kennedy. Follow me on Twitter where I'm at

0:54.4

M.Kennedy and keep up with a show and listen to past episodes at talk python.fm.

0:59.1

And follow the show on Twitter via at Talk Python. We've started streaming most of our episodes

1:04.3

live on YouTube. Subscribe to our YouTube channel over at Talkpython.fm slash YouTube to get

1:09.8

notified about upcoming shows and be part of that

1:12.6

episode. This episode is brought to you by Datadog and Stack Overflow. Transcripts for this and all of our

1:20.7

episodes are brought to you by Assembly AI. Do you need a great automatic speech to text API? Get human

1:26.1

level accuracy in just a few lines of code,

1:28.1

visit talk python.fm slash assembly AI. Megan and Mike, welcome to Talk Python and me. We're happy to be here.

1:35.8

It's great to have you here. I'm such a fan of space and just it's amazing to think about

1:42.8

our place in the universe and where we are. And so much of that

...

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