Python performance has come a long way in recent times, and it's often the data scientists,

with their computational algorithms and large quantities of data, who care the most about this form of performance.

It's great to have Stan Sebert back on the show to talk about Python's performance for data scientists.

We cover a wide range of tools and techniques that will be valuable for many Python

developers and data scientists.

This is Talk Python to Me.

Episode 474 recorded July 18th, 2024.

Are you ready for your host?

You're listening to Michael Kennedy on Talk Python to Me.

Life from Portland, Oregon, and this segment was made with Python.

Welcome to Talk Python to Me, a weekly podcast on Python. This is your host, Michael Kennedy. Follow me on

Massidon, where I'm at M. Kennedy, and follow the podcast using at Talk Python, both accounts over at

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over on YouTube, subscribe to our YouTube channel over at TalkPython.fm slash YouTube,

and get notified about upcoming shows.

This episode is sponsored by Posit Connect from the makers of Shiny.

Publish, share, and deploy all of your data projects that you're creating using Python.

Streamlet, Dash, Shiny, Boca, Fast API, Flass, Quatro, reports, dashboards, and APIs.

Posit Connect supports all of them.

Try Posit Connect for free by going to TalkPython.fm slash posit, POSIT.

And it's also brought to you by us over at Talk Python Training.

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