FEDIDEVS

@brainwane standup comedy keynote “So many workshops on how to get into open source but none on how to get out. Yeah some people aren’t laughing just going uh-huh.” #OpenSource #Python #PyConUS

A well deserved standing ovation for my friend Sumana’s @brainwane PyCon US keynote. I posted a lot of the fun parts, but it was equal parts serious and inspiring as well as humorous. Thank you so much for all the help you give to the Python community, and to me. #Python #PyConUS

Had a very relaxing night playing Cabo and knucklebones with friends. Much needed after another full conference day. #PyConUS

Ended up running 4.9 miles in 56 minutes (we added a little to the 5k running back from the fountain to the convention center). Surprised myself with the longest distance I’ve ever run and a sub hour time. So motivating being with other friendly Python people! #PyConUS

"Removing the GIL is simple and I don't know why no one has done it yet. 😉" - @tonybaloney in his talk about using subinterpreters for parallel code. #PyConUS

“I drink water but I don’t think of myself as a “water user”, I don’t got to the Water Discord.” 🌊😂 @brainwane #PyConUS

Remember to stay after the closing remarks to hear maintainers on stage announce their sprints that start tomorrow morning. I’ve once again forgotten I need to say something until the last minute 😅🏃‍♀️ #PyConUS

There are so many great quotable moments in @brainwane’s keynote, I’m glad there’s a lot of people posting them on the #PyConUS tag so I can like them.

Starting out with a 5k run with other Pythonistas at 7am tomorrow, then thought I'd have an easy day, but it looks like my schedule will be packed with keynotes, talks, and open spaces. Once again, I just need to figure out how to be in multiple places at once. #PyConUS

@tonybaloney showing off a Flask app running in Hypercorn by @pgjones with workers in subinterpreters that themselves each have the GIL disabled. Running parallel requests that themselves can have parallel processing. This talk has so much insight into web app and parallel performance. #PyConUS #Flask #Python