#327: Little Automation Tools in Python

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 30 July 2021

⏱️ 68 minutes

🔗️ Recording | iTunes | RSS

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Summary

You've heard me talk to wide cast of people building amazing things with Python. Some of them are building bio-reactors to remove carbon from the air with AI and Python. Others are optimizing aerodynamics and race strategy at the highest levels of automobile racing. This episode is different. Rather than seeing how far we can push Python to the edges of technology, we are diving in to the tiny Python applications that might never be released publicly and yet can transform our day to day lives with simple automation on an individual level.

Transcript

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0:00.0	You heard me talk to a wide cast of people building amazing things with Python.
0:04.7	Some of them are building bioreactors to remove carbon from the air with artificial intelligence and Python.
0:10.5	Others are optimizing the aerodynamics and race strategy at the highest level of automobile racing.
0:16.0	This episode is different.
0:17.9	Rather than seeing how far we can push Python to the edges of technology,
0:21.5	we're diving into the tiny Python applications that might never be released publicly
0:26.1	and yet can transform our day-to-day lives with simple automation on an individual level.
0:32.2	We have four great guests here today, Rivers Cuomo, Jay Miller, Kim Van Wick, and Rusty Gregory. They'll each share a couple of
0:40.1	apps and the underlying packages they use to build them. I know this will be a super motivational
0:44.2	episode for many of you, and I hope that after listening, you'll transform something tedious and
0:48.9	error-prone in your life to an instantaneous button-click solution with Python.
0:59.2	This is Talk Python to Me, episode 327, recorded July 15th, 2021. Welcome to Talk Python to me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
1:18.7	This is your host, Michael Kennedy.
1:20.4	Follow me on Twitter where I'm at M. Kennedy, and keep up with the show and listen to past episodes at TalkPython.fmm and follow the show on Twitter via at talk python
1:29.0	this episode is brought to you by lenoad us over at talk python training and the transcripts are
1:34.7	brought to you by assembly ai please check out what we're all offering during our segments it really
1:39.3	helps support the show rusty kim jay and rivers welcome all of you to talk Python and me. Thanks. Great to be here.
1:46.4	Thanks. Thanks. Thanks. Happy to be here. It's really excellent to have you here to share this topic.
1:51.9	A lot of times I have people on the show like, oh, here's how we built Instagram. Are we using this
1:56.1	cool library to scale like the largest Django deployment? Or here's how I built Flask and how we're
2:01.8	evolving it and something like that in data science and that's great but I think so many people out
2:07.0	there listening are like well I'm not building those kinds of apps I'm building something entirely
	...

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