139: Scientific Python with Guido Imperiale

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/
  
  

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