What we’re about
PyData Pittsburgh is a community for data scientists, machine learning practitioners, and all professionals, students, researchers, and enthusiasts working with Python and data in Pittsburgh. Pittsburgh is an emerging tech hub, with world-class research universities, outposts of major technology companies, a dynamic ecosystem of homegrown startups, and a burgeoning robotics sector. Let's connect these dots to share ideas, learn from each other, and grow the local technology community.
Our members include researchers and tech professionals with decades of experience, novices who have yet to write their first line of code, and everyone in between. If you're interested in learning more about amazing, cutting-edge work happening with Python, data, and related technologies in Pittsburgh, you're in the right place, and you'll find a welcoming, supportive community of like-minded folks.
Have an idea for a future PyData Pittsburgh event? Fill out our Call for Proposals form and a member of our organizing team will get back to you!
Meetup is the primary place we post our events, but you can also find and connect with us on:
- Email & Web: https://news.pypgh.org
- Mastodon: https://pypgh.org/mastodon
- X/Twitter: https://pypgh.org/twitter
- LinkedIn: https://pypgh.org/linkedin
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PyData Pittsburgh is also a node in the larger PyData network. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS. Thank you for helping us to maintain a welcoming and friendly PyData community!
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Need to get in touch with the PyData Pittsburgh organizing team? You can reach us at organizers@pypgh.org.
Upcoming events
1
Bodo DataFrames: A Fast and Scalable HPC-Based Drop-In Replacement for Pandas
Swartz Center for Entrepreneurship, 4765 Forbes Ave, Pittsburgh, PA, USPyData Pittsburgh is excited to host our November event — Bodo DataFrames: A Fast and Scalable HPC-Based Drop-In Replacement for Pandas. Join us on Tuesday, November 4th, as Ehsan Totoni, CTO and Co-Founder of Bodo.ai, discusses how Bodo DataFrames brings high-performance computing (HPC) techniques like MPI and JIT compilation to the familiar Pandas API—allowing data scientists to scale Python workloads from millions to billions of rows without rewriting their code.
About the talk:
Pandas is a popular library for data scientists but it struggles with large datasets; programs either become too slow or run out of memory. In this talk, we introduce Bodo DataFrames (https://github.com/bodo-ai/Bodo) as a drop-in replacement for the Pandas library that uses high performance computing (HPC) based techniques such as Message Passing Interface (MPI) and JIT compilation for acceleration and scaling. We give an overview of its architecture and explain how it avoids the problems of Pandas (while keeping user code the same), go over concrete examples, and finally discuss current limitations. This talk is for Pandas users who would like to run their code on larger data while avoiding frustrating code rewrites to other APIs. Basic knowledge of Pandas and Python is recommended.Time:
5:30pm – Doors Open
6:00pm – Talk, Bodo DataFrames: A Fast and Scalable HPC-Based Drop-In Replacement for PandasGetting to the event:
The Swartz Center for Entrepreneurship is located within the Tepper School of Business on the Carnegie Mellon University campus. After you arrive at the Tepper Quad, enter the main doors of the Tepper School building (on floor 2). The Swartz Center for Entrepreneurship is located on the third level (on floor 3) in Suite 3700.
Free parking is available after 5pm in the Morewood Gardens parking lot directly behind the Tepper School of Business. Look for the lot entrance at 1049 Morewood Ave.
Additional parking is available in the East Campus Garage on Forbes and Beeler Streets.
For more information about directions and parking, please see here.
✨✅ Take the PyData Pittsburgh Member Survey!
Thanks for being part of our community! This quick 5-minute survey will help shape future PyData Pittsburgh events. Take the survey HERE.
12 attendees
Past events
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