Is that Python code of yours running a little slow?

Are you thinking about rewriting the algorithm or maybe even in another language?

Well, before you do, you'll want to listen to what Davis Silverman has to say about speeding up Python code using profiling.

This is show number 28 recorded Wednesday, September 16th, 2015.

I'm a developer in many senses of the word because I make these applications. 15. Welcome to talk Python to me, a weekly podcast on, 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 the show and listen to past episodes at talk python.fm and follow the show on

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This episode is brought to you by Hired and CodeChip.

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There's nothing special to report this week, so let's get right to the show with Davis.

Let me introduce Davis.

Davis Silverman is currently a student at the University of Maryland working part-time at

the human geo-group.

He writes mostly Python with an emphasis on performant Pythonic code.

Davis, welcome to the show.

Hello.

Thanks for being here. I'm really excited to talk to you about how you made some super slow Python code much, much faster using profiling.

You work at a place called the Human Geo Group. You guys do a lot of Python there, and we're going to

spend a lot of time talking about how you took some of your social media and sort of data, real-time analytics type stuff and built that in Python and

...