Anaconda at SciPy 2025

Another fantastic event with the Python community is in the books! This year delivered breakthrough presentations, hands-on learning, and inspiring conversations that showcase the future of scientific computing.

The conference buzzed with excitement around Siu Kwan Lam’s groundbreaking work on “Numba v2: Towards a SuperOptimizing Python Compiler.” Attendees were captivated by the next-generation compiler’s composable term rewriting rules and automatic GPU acceleration capabilities. The momentum carried into sprint sessions where teams collaborated on executable Jupyter notebooks for the Numba v2 book project.

Jim Kitchen and Microsoft’s Sarah Kaiser brought crowds with their practical tutorial on developing Pythonic spreadsheets. Their session demonstrated the powerful intersection of accessibility and analytics, showing how Python integration transforms traditional Excel workflows.

Meanwhile, the prefix.dev team tackled one of science’s biggest computational challenges through their Pixi presentations. Their half-day tutorial on reproducible machine learning workflows provided scientists with concrete solutions for consistent environments across different computing platforms, featuring robust project-based package management.

Our booth became a hub for remarkable stories from around the globe. We heard from educators creatively distributing Anaconda on USB drives in Ghana and witnessed first-time Python users discovering the language’s potential. These conversations highlighted Python’s expanding reach and the passionate stories unlocked with its advancements.