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How do you create a virtual conference that retains the interactivity of an in-person event? What are the tools needed for talk submissions, ticketing, and live hosting? Can you find those tools written in Python?
Nina Zakharenko and Seb Vetter are co-chairs, and Ashia Zawaduk is the conference program chair. PyCascades will be held online from February 19th through 21st, with a day of virtual social events, one of live-streamed talks, and another of mentored sprints.
We discuss ways to recreate the elusive feel of the “hallway” track virtually. They share advice about submitting a talk proposal and ways that you can volunteer for conferences.
Tickets are available now. PyCascades is looking for additional sponsors. If you work for an organization that can help, get in contact with them.
Course Spotlight: Speed Up Python With Concurrency
Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing.
Topics:
Show Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
4.7
138138 ratings
How do you create a virtual conference that retains the interactivity of an in-person event? What are the tools needed for talk submissions, ticketing, and live hosting? Can you find those tools written in Python?
Nina Zakharenko and Seb Vetter are co-chairs, and Ashia Zawaduk is the conference program chair. PyCascades will be held online from February 19th through 21st, with a day of virtual social events, one of live-streamed talks, and another of mentored sprints.
We discuss ways to recreate the elusive feel of the “hallway” track virtually. They share advice about submitting a talk proposal and ways that you can volunteer for conferences.
Tickets are available now. PyCascades is looking for additional sponsors. If you work for an organization that can help, get in contact with them.
Course Spotlight: Speed Up Python With Concurrency
Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing.
Topics:
Show Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
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