#236: Scaling data science across Python and R

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 29 October 2019

⏱️ 61 minutes

🔗️ Recording | iTunes | RSS

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Summary

Do you do data science? Imagine you work with over 200 data scientists. Many of whom have diverse backgrounds or have come from non-CS backgrounds. Some of them want to use Python. Others are keen to work with R.

Transcript

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0:00.0	Do you do data science? Imagine you work with over 200 data scientists, many of whom have
0:06.6	diverse backgrounds who have come from non-CS backgrounds. Some of them want to use Python. Others are
0:12.3	keen to work with R. Your job is to level the playing field across these experts through technical
0:18.1	education and to build libraries and tooling that are useful to both
0:21.5	Python and our loving data scientists. It sounds like a fun challenge, doesn't it? That's what Ethan Swan
0:27.3	and Bradley Baumkey are up to, and they're here to give us a look inside their world. This is Talk
0:32.3	Python to Me. Episode 236 recorded September 27th, 2019.
0:56.0	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
1:06.3	This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy. Keep up with a show and listen to past episodes at TalkPython.fm. And follow the show on Twitter via At Talk Python.
1:12.0	This episode is brought to you by Linode and Tidelift. Please check out what they're offering during their segments.
1:13.4	It really helps support the show.
1:15.6	Ethan, Brad, welcome to Talk Python, me.
1:16.0	Thanks.
1:16.5	Good to be here.
1:17.1	Yeah, thanks.
1:18.6	Yeah, it's great to have you both here.
1:23.4	It's going to be really fun to talk about enabling data science across large teams and this whole blended world of data science, which it sounds pretty good, actually.
1:29.7	It sounds like a positive place.
1:31.2	Yeah, definitely getting more and more tangled too.
1:33.5	Yeah, I can imagine.
1:34.5	I can imagine.
1:35.7	So we're going to talk about things like R and Python and how those can maybe live together,
	...

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