About us
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
2
Drop-in Resources for Accelerating (Biological) Data Science
Carnegie Mellon University Giant Eagle Auditorium (Baker Hall), 4909 Frew St, Pittsburgh, PA 15213, Pittsburgh, PA, USPyData Pittsburgh is excited to host our next event: Drop-in Resources for Accelerating (Biological) Data Science. Join us Tuesday May 12th as Ben Busby from NVIDIA walks us through rapids.ai, a suite of open-source Python libraries designed to accelerate data science workflows on the GPU.
Topics will include:
- Vector search
- Really big graphs
- Sparse matrices
- Accelerated random forest and XGBoost
- RAPIDS Single Cell and related tools
Doors open: 6:30PM
Talk Starts: 7:00PMAbout the talk: Check out drop in libraries and recipes for everything from rapid data access to traditional machine learning to model tuning! We'll use the biological sciences as an example, but many of these tools are applicable to any data scientist!
About the speaker: Ben Busby is a Global Alliances Manager at NVIDIA where he helps medical research companies apply advanced AI & ML. He also serves as Adjunct Faculty at Carnegie Mellon University in the Computational Biology Department.
18 attendees
Past events
58
