PyData Delhi x PyDelhi Meetup #46

📌 Register for the event:
🔗 The Python Collective

Details
Schedule (1:00 PM - 5:00 PM)

13:00 > 13:30 - About PyDelhi and PyData Delhi
13:30 > 14:00 - Build your own MCP Server by Naman Muley, Founder at Utkrusht.ai
14:00 > 14:30 - Lunch Break!
14:30 > 15:00 - Exploring Starry Realms in the Milky Way with Gaia, Chetan Chawla
15:00 > 15:30 - RAGBot: Building Domain-Specific Q&A with Python, LangChain & Pinecone by Abdullah Shahid
15:30 > 16:00 - FiftyOne: Build Better Datasets, Train Better Models by Kritika Parmar, Deep Learning Engineer at Cars24
16:15 > 16:30 - Breaking and optimizing the Prometheus parser by Manik Rana
16:30 > 17:00 - Hiring/Pitching Session + Group photo

PyDelhi Links
Comuddle for Events and RSVPs: https://www.commudle.com/communities/pydelhi
Website: https://pydelhi.org/
Twitter: https://x.com/PyDelhi

People who want to volunteer for PyData Delhi, please stay for a while after the meetups end!

Note: Please keep your RSVP up to date; it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit!

Logistics:

• Venue: Coredge, Sector 62
• Venue map: https://maps.app.goo.gl/ieCwzX9S2PKNGcoS8
• Nearest Metro Station: Noida Electronic City (walking distance)
• Please bring a valid government ID to gain entry in the venue premises

Doors open at 12:30 PM, and talks start at 1:00 PM.

***
Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatadelhi (http://x.com/pydatadelhi) for updates and early announcements. See you at the meetup!

We're on Telegram. Join us for early updates and discussions here (https://t.me/+yVjqRjOUUL1iYjI1)

Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python, Julia, R, tips & tricks, caveats or personal project you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic and create an issue at (https://github.com/pydatadelhi/talks/issues). Beginner topics are always welcome!

Presentations:
If you'd like to share a topic with the group at an upcoming meetup, propose a talk here (https://github.com/pydatadelhi/talks/issues) :)

Contact:
Message us through the message tab on the meetup page.