SciPy Conference 2026

@scipyconf.bsky.social

SciPy 2026 Conference for Scientific and Technical Computing topics in Python. Tutorials July 13-14, Conference July 15-17, Sprints July 18-19.

The Sprints are one of our favorite parts of the conference! ๐ŸŽ‰ This is where many of us made our very first contribution to the Scientific Python ecosystem, thanks to the welcoming and friendly maintainers who make it easy to get involved. ๐Ÿซถ Here's to all the new contributors started this week ๐Ÿ’™

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๐Ÿ“ฃ One of the best parts of #SciPy2026 is seeing the Scientific Python ecosystem evolve in real time. Today's Tools Plenary featured updates from the teams behind Zarr, Xarray, Tiled, Pangeo, scikit-image, Matplotlib, and napari, showcasing new features & future directions ๐Ÿซถ

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๐Ÿซถ A huge thank you to Amber Case for an inspiring keynote this morning at #SciPy2026! ๐Ÿ‘ She challenged us to rethink how we build technology, reminding us that the best systems don't demand more of our attention; they help us focus on what matters. โœจ๏ธ

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โšก Lightning Talks are back at #SciPy2026! Five minutes. Any topic. No excuses. They're one of our favorite SciPy traditions. You might end up presenting with tiny hands ๐Ÿค, lobster claws ๐Ÿฆž, or even petting a loon ๐Ÿฆ† while giving your talk. Get ready for the unexpected over the next two days. ๐Ÿ‘€

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๐Ÿ› ๏ธ The Tools Plenary gave us a tour of what's new across the Scientific Python ecosystem! ๐Ÿ’› Thanks to the maintainers of NumPy, SciPy, SymPy, Astropy, Scientific Python, MNE-Python, NetworkX, and Marimo for sharing their latest updates. ๐Ÿš€ #SciPy2026

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๐Ÿฅ๐Ÿฅ #SciPy2026 is officially underway! We kicked things off with opening remarks from our fantastic conference chairs, Madicken and Gil ๐Ÿซถ, followed by an inspiring keynote from Thomas Caswell ๐Ÿš€ on how the stories we share, and the communities that shape them, are at the heart of open source. โœจ๏ธ ๐Ÿ’›

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๐Ÿ™Œ Day 2 of #SciPy2026 is complete! Another day of tutorials covered array programming, RAG systems, network analysis, GPU acceleration, Xarray, Shiny, interactive visualization, JAX, remote sensing, and more ๐Ÿš€ We're so excited to see you all tomorrow for our main conference ๐Ÿซถ

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๐Ÿš€ #SciPy2026 starts today! We're kicking off the week with tutorials ๐Ÿ‘ฉโ€๐Ÿ’ป Looking forward to a great week of learning, collaboration, and conversations with the Scientific Python community. ๐Ÿ™Œ See you at the University of Minnesota Health Sciences Education Center โœจ๏ธ

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โšก Tutorial Spotlight: Reproducible CUDA doesn't have to be complicated! Matthew Feickert, Ruben Arts & Katrina Riehl will show you how to easily create reproducible scientific and AI/ML environments that leverage GPU acceleration across multiple machines and platforms with Pixi. ๐Ÿš€

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