Do you have data that you pull from external sources or that is generated and appears at your digital doorstep?

I bet that data needs processed, filtered, transformed, distributed, and much more.

One of the biggest tools to create these data pipelines with Python is Daxter.

And we're fortunate to have Pedram Navid on the show to tell us about it.

Pedram is the head of data engineering

and Devrel at Daxter Labs, and we're talking data pipelines this week here at Talk Python.

This is Talk Python, and me, episode 454, recorded January 11th, 2024.

Music Welcome to talk Python.

Welcome to Talk Python, a weekly podcast on Python.

This is your host, Michael Kennedy.

Follow me on Macedon, where I'm at M Kennedy and follow the podcast using at on Python. This is your host, Michael Kennedy. Follow me on Massadon, where I'm

at M. Kennedy and follow the podcast using at TalkPython, both on Bostadon.org. Keep up with the show and

listen to over seven years of past episodes at TalkPython.fm. We've started streaming most of our

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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. Did you know that we have over

250 hours of Python courses? Yeah, that's right. Check him out at TalkPython.fm slash courses.

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