Welcome to SciPy 2018!

SciPy 2018, the 17th annual Scientific Computing with Python conference, will be held July 9-15, 2018 in Austin, Texas. The annual SciPy Conference brings together over 700 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The full program will consist of 2 days of tutorials (July 9-10), 3 days of talks (July 11-13), and 2 days of developer sprints (July 14-15).

Thank you to everyone that submitted a talk, poster or tutorial. We are consistently in awe of the incredible work done by this community.

Tutorial Schedule

We are thrilled to announce our Keynote Speakers

  Ralf Gommers is currently a senior data scientist in the forestry industry, at FP Innovations (Vancouver, Canada) and Scion (Rotorua, New Zealand). His research interests there include modelling of forest diseases and productivity, and scaling up remote sensing forestry applications - mainly using tools in the scientific Python ecosystem. He has previously worked on cold atom physics, MRI systems and lithography machines. Ralf  is a core developer of SciPy, NumPy and PyWavelets, and is a board member of NumFOCUS. His focus over the last decade has been on growing the scientific Python ecosystem and making its core projects more sustainable.
  Leo Singer earned his Bachelor's degree in 2009 at the University of Maryland and his Ph.D. in physics from the California Institute of Technology in 2014. He is currently a Research Astrophysicist at NASA's Goddard Space Flight Center. By day, he works on real-time detection and real-time Bayesian inference in data from the Laser Interferometer Gravitational-wave Observatory (LIGO). By night, he tracks down optical and infrared signatures of these events using the Zwicky Transient Facility (ZTF) and a host of other ground- and space-based astronomical facilities.

Rachel Thomas was selected by Forbes as one of “20 Incredible Women in AI”, earned her math PhD at Duke, and was an early engineer at Uber. She is co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 100,000 students have taken. Rachel is a popular writer and keynote speaker. Her writing has been read by over half a million people; has been translated into Chinese, Spanish, Korean, & Portuguese; and has made the front page of Hacker News 7x. She is on twitter @math_rachel and her website is http://www.fast.ai/about/#rachel