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🚨🚨 IMPORTANT: YOU MUST REGISTER ON TITO PRIOR TO THIS EVENT! 🚨🚨
➡️ REGISTRATION LINK ⬅️
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Want to learn more about Python and meet other Pythonistas?
👉 Submit your 5, 15 or 25 mins talk proposals at https://bit.ly/sfpython-cfp

SCHEDULED TALKS

🔎 Lightning talk (5 mins)
Could be you!

🔎 First Talk (~25 mins + Q&A)
Atri Framework: Open-source web framework for Python developers - Shyam Swaroop
Shyam is the creator of Atri Framework which is a full-stack web development framework for Python developers. Since launching 4 months ago, it has 30k+ downloads and 3.9k+ GitHub stars.
In this talk, Shyam will share how Python developers can create beautiful, modern-day frontend for their web applications. For example, how they can add gradients, animations and general 2023 UI standards like JavaScript developers while building their backend in Python.
Shyam Swaroop: Co-Founder & CTO, Atri Labs

🔎 Second Talk (~25 mins + Q&A)
Beyond GraphGPT: Large Language Models and Prompt Engineering - Varun Shenoy
The goal of this talk is two-fold. First, understanding landscape language models and how you can start playing with them for fun and profit. Second, learning about leveraging emergent behaviours through prompt engineering.
Varun Shenoy: EE + CS @ Stanford, varunshenoy.com

NOTE: Registration is now available. You must register for this event. Registration Open: REGISTRATION LINK

Please note that the venue we have booked has a maximum capacity of 80 individuals, with 40 spots reserved for standing and 40 for seated attendees. In the event that we reach these in-person limits, we will utilize Tito to cap the number of registrants. Additionally, we will be offering an online option for those unable to attend in-person.

AGENDA
6:30p Food and Hangout
7:00p Opening remarks, sponsors acknowledgement
7:10p Scheduled talks and Q&A + networking
8:30p Wrap up last talk, more networking until 9:00p

THIS EVENT IS PRODUCED BY
SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area

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Sponsors

Anyscale

Anyscale

Build and run data and AI workloads of any size with ease

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