Python talk night at City University Seattle (Belltown)

Seattle — United States

Python talk night at City University Seattle (Belltown)

When

10/15/2026, 12:00:00 AM

Where

521 Wall Street, Seattle, WA, Seattle, WA, us

About

Join us for an exciting talk night at City University of Seattle's Belltown Campus! Agenda: 5:30-6pm: Doors open/networking 6-6:10pm: Opening remarks 6:10-6:35pm: Talk #1 6:35-6:50pm: Intermission 6:50-7:05pm: Lightning talk 7:05-7:30pm: Talk #2 7:30pm-8pm: Networking After party to follow at Teku Tavern (552 Denny Way, Seattle, WA 98109) What we'll do: This event will feature the following presentations: Talk #1: TBD Speaker: Zach Fudge Description: TBD Lightning talk: Pip install rave Speaker: Austin Bennett Description: "An attempt to connect engineers and music concerts (or festivals)." TLDR; - (Flash round) Who am I? (it's my first talk, so my background may be helpful and I can skip this on request or make it less than 30 seconds) - (Confidentiality) Authentication in real life, and what purpose Python serves in a release process (significance of it, and significance of having something reliable) - (Integrity) PLURR, the significance of trusting the community, and how PSKs can play a role in securing future python pip packages - (Availability) A lack of competition (or a lack of creativity) detracting from giving people new experiences (connecting between raves and CI/CD) I think this is very high-level that's more about programming and raving, and less about Python but still making it about python by showing how to secure systems and rolling releases using Python and touching on pip's \`--require-hashes\`. Talk #2: The Beautiful Improbability of the Real Speaker: Matt Drury Description: Simple coinflip games are proving grounds for our intuition about the nature of random events and govern conclusions we can responsibility draw from data. In this talk we describe the Arcsine Laws, which were described evocatively by William Feller as: > unexpected [and] come as a shock to intuition and common sense. They will reveal that commonly accepted notions concerning chance fluctuations are without foundation and that the implications of the law of large numbers

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