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
3
PyLadies San Francisco at Apify
European Startup Embassy, 461 Bryant St, San Francisco, CA, US*** You must register for this event on Luma: https://luma.com/ma8lkaim ***
Event Agenda
- 6:00 pm: Networking and Snacks
- 7:00 pm: Welcome and Community Announcements
- 7:05 pm: Sponsor Demo from Apify
- 7:10 pm: Community Panel
Panel Moderator:
Hermine Tranie from ClarityCare AI.
Panelists:
Annie Liao, Build Club
Sasha Grinishpun, Harvard Business Alumni
Sofia Zarate, CoPilotKit- 7:50 pm: Talk: Building Beyond My Skill Set Without Becoming AI’s Passenger
Speaker: Sonam Gupta, Developer Advocate at Telnyx
Talk Description:AI coding tools can help us build beyond our existing skill sets, but they can also make it easy to lose track of what our applications are actually doing.
In this talk, I’ll share how I first used AI to build my personal website despite not being a frontend developer, and how that experience gave me the confidence to build an internal AI tool for a sales team. I’ll walk through the architecture, the role of the knowledge base and memory layer, where vibe coding helped, where it created confusion, and the practical checkpoints I now use to stay in control of the development process.
Attendees will leave with a realistic framework for using AI coding tools to move faster without becoming disconnected from the systems they are building.- 8:10 pm: Networking
- 9:00 pm: End of event
Event Sponsor
- Apify
Code of Conduct
Please review and agree to adhere to our Code of Conduct to participate in our community.
4 attendees
PyLadies San Francisco at Datadog
RSVP On Luma For Location, On Luma ,, San Francisco, CA, US*** Please RSVP on Luma: https://luma.com/0qa8rm4z ***
Theme
Building with AI agents presents unique challenges and opportunities. In this meetup, we'll explore practical solutions, lessons learned, and real world insights for using agents to supercharge your software engineering workflows.
Tentative Agenda
- 6:00 pm: Networking and Food
- 7:00 pm: Welcome and Community Announcements
- 7:05 pm: Sponsor Presentation from Datadog
- 7:25 pm: Talk TBD (This could be you! DM your proposal!)
- 7:50 pm: Talk TBD
- 8:15 pm: Networking
- 9:00 pm: End of event
Event Sponsors
Code of Conduct
Please review and agree to adhere to our Code of Conduct to participate in our community.
4 attendees
PyLadies SF at Snowflake SVAI Hub
SVAI Hub, 135 Constitution Dr, Menlo Park, CA 94025, Menlo Park, CA, US*** Please RSVP on Luma: https://luma.com/693643qu ***
Join us for an evening of Python, Data Science and networking. A big thank you to Snowflake for sponsoring our meetup!
Theme: How is data science/analysis changing alongside AI? The session is meant to explore experience/opinions on how the role is evolving, what skills remain essential, system designs, and how teams are adapting.
Speakers:
- Rose Tan, Staff Data Scientist, Snowflake
Rose has over a decade of experience in causal inference and experimentation and holds a PhD in Economics from Stanford University. Her goal is to use data to drive business strategy, and she enjoys using AI to reinvent the data science job description. At Snowflake, she works on B2B platform products and brings extensive experience in consumer-focused data science from her time at LinkedIn. - Kasia Rachuta, Senior Staff Data Scientist, Intuit
Kasia is a Senior Staff Data Scientist at Intuit, where she works on payments and uses AI daily to sharpen how her team builds and decides. Her expertise spans identity verification, payments, sales analytics, ecommerce, and infrastructure. Previously, she was a Data Science Tech Lead at Square, and before that worked at Medium and FiveStars, where she ran numerous A/B tests to inform product decisions and contributed to company-wide experimentation initiatives. In her free time, she enjoys travel, scuba diving, and reading. - Lilinoe Harbottle, Biomedical Engineering Researcher Data Systems, VC-Backed Startup
Leveraging a background in software delivery at Auris Health, Lilinoe engineers data infrastructure to advance healthcare technology. She specializes in implementing robust validation layers to ensure system trust and compliance in highly regulated environments.
Tentative Agenda:
- 6:00 pm: Check-in + Networking
- 6:15 pm: Welcome and Community Announcements
- 6:45 pm: Rose Tan (25 min, 5 min Q&A)
Topic: How I AI: A Data Scientist's Perspective - 6:55 pm: Kasia Rachuta (25 min, 5 min Q&A)
Topic: The Data Scientist's Job in the Age of AI: What Changed, What Didn't - 7:20 pm: Lilinoe Harbottle (30 min)
Topic: Trust in the Loop: System Design and Data Integrity in Regulated Environments
Description: In regulated fields like MedTech, unverified automation introduces severe operational liabilities. This session runs a practical post-mortem on a silent data pipeline failure to isolate where automated logic drifted from compliance requirements, offering a clear blueprint on how to build validation layers that protect production systems. - 7:50 pm: Wrap-up + Networking
- 8:30 pm: Event ends
Who should attend:
If you’re navigating your analytics career alongside AI, then this event is for you. Attendees are data scientists, data analysts, data engineers, product managers, technology contributors and leaders, or individuals interested in learning more about this spacePlease review and agree to adhere to our Code of Conduct to participate in our community.
4 attendees- Rose Tan, Staff Data Scientist, Snowflake
Past events
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