#508: Program Your Own Computer with Python

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 6 June 2025

⏱️ 72 minutes

🔗️ Recording | iTunes | RSS

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Summary

If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR computer with Python." We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs (e.g. macOS's BrowserKit and Window's COM APIs) to build desktop apps in Python that make you happier and more productive. Let's dive in!

Transcript

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0:00.0	If you've heard the phrase, automate the boring things for Python, this episode starts with that idea and takes it to a whole other level.
0:07.1	We have Glyph back on the podcast to talk about programming your computer with Python.
0:12.5	We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs.
0:19.7	For example, Mac OS's browser kit and Windows,
0:23.5	com object model, all of this to build desktop apps in Python
0:27.2	that make you happier and more productive.
0:30.1	Let's dive in.
0:31.2	This is Talk Python to Me.
0:32.4	Episode 508, recorded May 6th, 2025.
0:36.6	Are you ready for your host?
0:39.2	You're listening to Michael Kennedy on Talk Python to Me.
0:42.9	Life from Portland, Oregon, and this segment was made with Python.
0:48.9	Welcome to Talk Python to Me, a weekly podcast on Python.
0:52.6	This is your host, Michael Kennedy. Follow me on
0:55.4	Macedon, where I'm at M. Kennedy, and follow the podcast using at TalkPython, both accounts
1:01.0	over at Fostodon.org, and keep up with the show and listen to over nine years of episodes
1:06.1	at TalkPython.fm. If you want to be part of our live episodes, you can find the live streams over on YouTube.
1:12.6	Subscribe to our YouTube channel over at talk python.fm slash YouTube and get notified about upcoming shows.
1:19.0	This episode is sponsored by Posit and Posit Workbench. Posit workbench allows data scientists to code in Python within their preferred environment without
1:28.4	any additional strain on IT.
1:31.0	It gives data scientists access to all the development environments they love, including
1:34.6	Jupiter Notebooks, Jupiter, Lab, Positron, and VS code, and helps ensure reproducibility and consistency.
	...

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