🤝 Community Partner · IKIGAI 2026 · 36-hour National Hackathon · 21–23 Aug 2026 · AITR Campus, Indore · Details →
Part of the Global PyData Network

Where Data Meets Community in Indore

Central India's community for data scientists, ML practitioners, and open-source enthusiasts. We build, learn, and grow together.

250+ Members
200+ LinkedIn Followers
50+ Hackathon Participants
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250+ Community Members
200+ LinkedIn Followers
50+ Hackathon Participants
10+ Teams Competed
2025 Est. Indore, MP

An Educational Program by NumFOCUS

PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. We promote discussion of best practices, new approaches, and emerging technologies.

Open source first — always
Community-driven learning
Inclusive for all skill levels
Giving back to the ecosystem
Learn about our mission

Community Gatherings

View all events
17 Jan
Hackathon Partner

Hack'Vento 2K26

Community Partner at GDG On Campus IET DAVV's hackathon — 80+ participants, with PyData Indore's Sumit S Chawla as a mentor.

IET DAVV, Indore 80+ Participants
23 May 2026
Meetup Completed

PyData Indore — Meet #1

From Prompt to Real Workflow: Building Your First Agentic AI System with Python. 9:30 AM – 12:00 PM · InfoBeans Foundation · Free entry.

InfoBeans Foundation, Indore
18 Jul 2026
Mini Hackathon Completed

PyData Indore Hack Days

A one-day, in-person mini hackathon powered by MLH Hack Days. Teams of up to 4 · SSi Digital, Indore · Free entry.

SSi Digital, Indore

Explore Data Science Topics

🐍

Python

Core language for data science

🤖

Machine Learning

Algorithms & model building

📊

Data Visualization

Tell stories with data

🧠

Deep Learning

Neural networks & AI

📈

Data Analysis

Pandas, NumPy & beyond

☁️

MLOps

Production & deployment

📝

NLP

Language processing

🔬

Scientific Computing

Research & simulation

Ready to Join the Community?

Whether you're a beginner or an expert, there's a place for you in PyData Indore. Connect with like-minded data enthusiasts, learn new skills, and contribute to open source.