ciPy 2026 is the 25th annual Scientific Computing with Python conference, bringing together researchers, developers, and users of open-source scientific tools built in Python. The event features highlighted tracks in open-source collaboration, machine learning, and AI, as well as tutorials, conference sessions, sprints, and Birds-of-a-Feather sessions focus…
With everything from microscopes to telescopes to satellites, scientists produce image data in countless formats, shapes, sizes, and dimensions. Python provides a rich ecosystem of…
You’ll learn a repeatable workflow to accelerate real numeric kernels using CPU SIMD, GPU arrays + custom kernels, and TPU/XLA compilation—all from Python. This tutorial follows th…
This tutorial is intended to give attendees a gentle introduction to applying causal thinking and inference using python. It covers the difference between correlation and causation…
This tutorial covers the basics of how to build AI apps that avoid challenges like hallucinations and verifiability, yet are still effective and simple to build. We'll start with q…
The command line is the most powerful, composable, and underappreciated tool in a data scientist's arsenal. In this hands-on tutorial, attendees will go from "what is a terminal?" …
GPU-powered math libraries are the core of accelerated scientific computing. The nvmath-python package aims to provide intuitive pythonic APIs giving users full access to all featu…
Through the construction of a Deep Research Agent, tutorial participants will learn the fundamental building blocks of LLM-driven applications. Starting with in-context learning an…
This tutorial is for anyone who works with data in Python notebooks. marimo is a reactive notebook that can serve as a personal data environment. Cells run in a deterministic order…
Enjoy a gentle introduction to Python for folks who are completely new to it and may not have much experience programming. Learn how to write Python while practicing loops, if’s, f…
An audience of 15 companies, parsed from the program.
The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.
These companies sponsored two or more peer events recently, but aren't on this program. For an organizer, that's a list of warm prospects.