Why SciPy?

SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The full program will consist of two days of tutorials followed by three days of presentations, and concludes with two days of developer sprints on projects of interest to attendees.

Check out the SciPy 2025 Conference Videos

SciPy offers opportunities to connect with a vibrant, collaborative community, regardless whether you’re a seasoned contributor, an industry professional, or just beginning your journey in scientific computing. Attendees gain practical skills they can apply immediately, discover emerging tools and research, and build relationships that can lead to future partnerships, mentorship, or career growth. Join us to exchange ideas, see cutting-edge work, and experience firsthand the energy that drives the open-source scientific Python ecosystem forward.

Schedule

  • July 13-14 - Tutorials

  • July 15-17 - Conference

  • July 18-19 - Open Source Sprints

Contacts

  • Madicken Munk, Conference Chair

  • Gil Forsyth, Conference Chair

  • Andy Terrel, Sponsorship Chair

  • Dawn Wages, Sponsorship Chair

  • Jim Weiss, Logistics Chair


Questions? Comments? Interested in Sponsoring? Contact community@scipy.org.

SciPy 2026 Accessibility and Accommodation

SciPy values disability and supports accessibility. The SciPy Conference welcomes individuals with disabilities and encourages conference participants to request reasonable accommodations. If you would like to request event accommodations or have questions regarding accessibility for the SciPy Conference, please contact community@scipy.org. Please note that attendees will also have an opportunity to request event accommodations during registration.

Please note that the conference will make every effort to secure services, but that services are subject to availability.