139: Scientific Python with Guido Imperiale

Programming Throwdown

Jul 25, 2022•1 hr 24 min•Ep. 139

--:--

Listen in podcast apps:

Listen to this episode in Metacast mobile app

Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

00:00:45 Introductions

00:02:22 The sluggish Python-based system that Guido revitalized

00:06:03 Meeting the challenge of adding necessary complexity to a project

00:11:59 Excel in banking

00:18:15 Guido’s shift into Coil

00:19:29 Scooby-Doo pajamas

00:20:21 What motivates people to come in to the office today

00:24:09 Pandas

00:35:35 Why human error can doom an Excel setup

00:39:29 BLAS

00:46:20 A million lines of data

00:51:43 How does Dask interact with Gambit

00:54:40 Where does Coil come in

00:59:34 The six-o-clock question

01:03:53 Dealing with matters of difficult decomposition

01:12:07 The Coil work experience

01:15:37 Why contributing is impressive

01:20:20 Coil’s product offering

01:21:19 Farewells

Resources mentioned in this episode:

Guido Imperiale:

Github: https://github.com/crusaderky

Coiled:

Website: https://coiled.io
Careers: https://coiled.io/careers/

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

Reach out to us via email: [email protected]

You can also follow Programming Throwdown on

Facebook | Apple Podcasts | Spotify | Player.FM

Join the discussion on our Discord

Help support Programming Throwdown through our Patreon

★ Support this podcast on Patreon ★

For the best experience, listen in Metacast app for iOS or Android

Open in Metacast