I love to bring you stories of Python being used in amazing places outside the traditional

tech silos of pure web development and data science.

On this episode, you'll meet Robert Kane Replagall, who works on simulation and test software

at Richard Childress Racing, the NASCAR team that just finished number one and two at the

Texas Motor Speedway.

You'll hear how Python is allowing them to model car behavior,

airflow, and much more faster than others using outdated tools. This is Talk Python to Me,

episode 281 recorded July 22nd, 2020. Wait, wait, wait, wait. Normally I'd play a little guitar riff

right here to kick off the episode.

But this episode is about racing and race cars, so let's kick it off with a different kind of instrument and note.

Let's jump into a 2017 indie pro-Mazda, a furlap around the storied brands hatch circuit,

and let the engine notes be the music.

Okay. and let the engine notes be the music. Let the engine notes be the music. I'm 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 the show and listen to past episodes at TalkPython.fm.

And follow the show on Twitter via At Talk Python.

This episode is brought to you by Sonar Cube and Linode. Please check out what they're offering during their segments. This is a really

fun episode. You're going to enjoy Kane's story. And if you're interested, you can find the full

five-minute video that drive around brands hatch at TalkPython.fm slash hatch. Again, welcome to Talk Python to me.

Thanks. Glad to be here.

Yeah, it's awesome to have you here.

I get to bring two of the things that I'm really passionate about together, racing and Python.

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