Did you come to software development outside the traditional computer science path?

This is common, and it's even how I got into programming myself.

I think it's especially true for data scientists and folks doing scientific computing.

That's why I'm thrilled to bring you an episode with Daniel Chen about maintainable data science tips and techniques.

This is Talk Python to Me, Episode 227 recorded August 6th,

2019. Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

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.

This episode is sponsored by Indeed and Rollbar.

Please check out what they're offering during their segments.

It really helps support the show.

Dan, welcome to Talk Python and me.

Hi, Mike. Nice to meet you.

It's great to meet you as well.

I'm so glad that we got a chance to run into each other at PyCon this year and learn

about what you're up to

because we're going to have a good time talking about it. Yeah, and this year was the first year I was

at PyCon and I typically live in the data science world. So it was one super cool to be at like

pretty much a convention of Python users. And I almost forgotten like how Python is outside of data science. Like, Django is a thing.

Was a thing that, like, was repeated back to me. Yeah, exactly. That's pretty interesting.

What was your take on it? Do you recommend people, especially data scientists, attend PyCon?

You're happy it went? Yeah.

I mean, it was super cool.

...