INFO:

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. We have 4 great guests with us here today: Rivers Cuomo, Jay Miller, Kim van Wyk, and Rusti Gregory. They will each share a couple of apps and the underlying packages they used to build them. I know this will be a super motivational episode for many of you. I hope that after listening, you'll transform something tedious and error-prone in your live to an instantaneous button click solution with Python. ▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe. ▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Rivers Cuomo: https://twitter.com/RiversCuomo Jay Miller: https://twitter.com/kjaymiller Kim van Wyk: https://twitter.com/kim_vanwyk Rusti Gregory: https://talkpython.fm/episodes/show/194/learning-and-teaching-python-in-a-vacuum ▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬ DiversityOrgs.Tech: https://diversityorgs.tech/?q=portlandu0026size=n_20_n MP3TAG App: https://www.mp3tag.de/en/index.html Screenshot from Rivers' demo clip selection app: https://www.youtube.com/watch?v=DJVzQuaahSg pywinauto: https://pywinauto.readthedocs.io/en/latest/ pyperclip: https://pypi.org/project/pyperclip/ ffmpeg: https://ffmpeg.org/ffprobe.html#json selenium: https://selenium-python.readthedocs.io/ Github actions: https://github.com/marketplace?type=actions RUMPS: https://pypi.org/project/rumps/ py2app: https://pypi.org/project/py2app/ PyMuPDF: https://pypi.org/project/PyMuPDF/ Gooey: https://pypi.org/project/Gooey/ conduit podcast: https://www.relay.fm/conduit feedparser: https://feedparser.readthedocs.io/en/latest/introduction.html awesome-python audio recommendations: https://awesome-python.com/#audio foxdot live coding: https://toplap.org/foxdot-live-coding-with-python-and-supercollider/ spotipy: https://pypi.org/project/spotipy/ pipx: https://github.com/pypa/pipx eyed3: https://eyed3.readthedocs.io/en/latest/ Episodes referenced at the beginning: Bio-reactor: https://talkpython.fm/episodes/show/250/capture-over-400x-c02-as-trees-with-ai-and-python Nascar: https://talkpython.fm/episodes/show/281/python-in-car-racing F1: https://talkpython.fm/episodes/show/296/python-in-f1-racing Listen this episode on Talk Python: https://talkpython.fm/episodes/show/327/little-automation-tools-in-python Episode transcripts: https://talkpython.fm/episodes/transcript/327/little-automation-tools-in-python ▬▬▬▬ Dive deeper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Listen to the Talk Python To Me podcast at https://talkpython.fm Over 250 hours of Python courses at https://training.talkpython.fm/courses Follow us on on Mastodon. Michael: https://fosstodon.org/@mkennedy u0026 Talk Python https://fosstodon.org/@talkpython