About us
PyLadies San Francisco is a large chapter of the international PyLadies mentorship group (fiscally sponsored by the Python Software Foundation) with a focus on helping people who identify as women in a way significant to them become active participants and leaders in the Python community in the San Francisco Bay Area and beyond. We promote, educate and advance a diverse Python community through online community, outreach, education, conferences, events, and social gatherings.
Here is the global PyLadies Code of Conduct. PyLadies SF applies the more-specific LadyNerds Code of Conduct because we are dedicated to providing a safe, inclusive, welcoming, and harassment-free space and experience for all members and guests, regardless of gender identity and expression, sexual orientation, disability, physical appearance, socioeconomic status, body size, ethnicity, nationality, level of experience, age, or religion (or lack thereof). The Code of Conduct exists because of that dedication. We do not tolerate harassment in any form and we prioritize marginalized people’s safety over privileged people’s comfort.
To contact us, please email sf@pyladies.com or message one of the organizers on the PyLadies Slack. If you'd like to participate in one of our events but have reasons not to have an online presence, please feel free to contact us.
Please make donations here to support our specific chapter of PyLadies.
Upcoming events
1
PyLadies San Francisco @ WorkOS
WorkOS, Register on Luma for address., SAN FRANCISCO, CA, US*** Please note you must register on Luma for this event. ***
Registration Link: https://luma.com/z9px4nbgJoin us for pizza, Python, and networking. A big thank you to WorkOS for sponsoring this event!
Tentative Agenda
- 5:30 pm: Networking
- 6:30 pm: Welcome and Community Announcements
- 6:40 pm: Sponsor Presentation
- 6:55 pm: Viviana Márquez, AI Community Lead at Prolific, "How to Collect Data for AI in Just Minutes via Python"
Modern AI systems rely heavily on human data; but where does that data come from, and how is it used?
In this talk, I’ll walk through the role of human data across the LLM lifecycle, including pre-training, supervised fine-tuning, preference tuning, and evaluation. I’ll then show how you can quickly collect high-quality human data yourself using Prolific via Python, with a hands-on demonstration of setting up a study and gathering responses in minutes.
This session is designed to be practical and accessible. You only need a basic understanding of Python to follow along. By the end, attendees will have a clear understanding of how human-in-the-loop data powers AI systems, and how they can start leveraging it in their own projects.
- 7:30 pm: Lightning Talk - TBD
- 7:45 pm: Community Announcements
- 7:50 pm: Networking
- 8:30 pm: Event ends
4 attendees
Past events
605
