Part of the Global PyData Network

Where Data Meets Community in Indore

Join Central India's vibrant community of data scientists, developers, and researchers. Learn, share, and grow together with Python and open-source data tools.

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About PyData

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 for data management, processing, analytics, and visualization.

Our community works with many languages including Python, Julia, and R. We're organized by NumFOCUS, a 501(c)(3) nonprofit, and all proceeds benefit open-source development.

Learn about our mission

Open Source

Supporting the tools that power modern data science

Community First

Building connections across data professionals

Knowledge Sharing

Learn from experts and peers alike

Events

Upcoming Gatherings

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Coming Soon

We're currently planning our first event! Stay tuned for exciting meetups, workshops, and conferences where we'll explore the world of data science together.

Learn More

What We Cover

Explore Data Science Topics

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Python

Core language for data science

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Machine Learning

Algorithms & model building

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Data Visualization

Tell stories with data

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Deep Learning

Neural networks & AI

📈

Data Analysis

Pandas, NumPy & beyond

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MLOps

Production & deployment

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NLP

Language processing

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Scientific Computing

Research & simulation

Our Team

Meet the PyData Indore Team

We're a passionate group of volunteers dedicated to building Central India's data science community.

Sumit S Chawla

Organizer

Passionate about building the data science community in Central India and bringing together data enthusiasts, practitioners, and researchers.

Want to join our team? We're always looking for passionate volunteers!

Get Involved

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.

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