Thursday, May 14th
- Break
- Plenary
- Security
- Artificial Intelligence
- Charlas
Friday 02:00 p.m.
Come chat with a couple of the developers of the ty type checker! Bring your hopes and dreams for Python type checking and your questions about ty.
Friday 03:00 p.m.
Gather with fellow open source project maintainers to discuss current challenges, feedback, or tool suggestions regarding security for open source Python projects. Vulnerability reporting, forge and workflow security, standards: it's all on the table for discussion. This open space is intended primarily for open source maintainers and current/potential open source contributors. Listening in is welcome. No product pitching, please.
Friday 06:00 p.m.
Accelerated Python
Saturday 11:00 a.m.
Come chat with the developers of Pyrefly, a fast type checker and language server (and get some exclusive swag!) Talk to us about anything related to Python typing, and bring any questions or feature ideas you have for Pyrefly.
Saturday 02:00 p.m.
geospatial and remote sensing folks, let’s meet again to chat data/libraries/access. Use rasterio/pyproj/shapely/duckdb/qgis/arcpro? Drop on by
Saturday 03:00 p.m.
Portland, Oregon Python users hangout
Saturday 04:00 p.m.
What would an open-source machine-readable contract look like, aka, contracts-as-code? US healthcare has a ton of administrative waste, complexity, and non-deterministic elements that lead to surprises for both patients and B2B. There are payer-provider contracts and payer policies that could be made to more portable specifications; ie, JSON, a small DSL, or typed Python. Folks who have built computable contracts in other domains (tax, benefits, derivatives, energy) are super welcome and wanted…
Sunday 10:00 a.m.
Financial data powers investing, research, risk management, portfolio construction, and many other investment-related workflows, but it can also be expensive, fragmented, difficult to license, and hard to integrate cleanly into modern Python tools. This Open Space is for anyone interested in market data, fundamentals, ETFs, portfolio analytics, risk models, alternative data, financial APIs, or building investment-related tools with Python. We’ll discuss practical questions like: * When should you …
Sunday 11:00 a.m.
For those that feel that our time on GitHub has run its course, let's discuss the alternatives, successes, and difficulties.