Uploaded March 2024 | Updated September 2026, 1 week ago

---

Julia is an open-source programming language targeting scientific computing and data science with many abstractions built into the language and ecosystem. It has been gaining popularity since its first stable release in 2018 with the promise of being an approachable language that compiles to efficient native code via LLVM, while providing rich capabilities for interactive data analysis and visualization – making Julia an excellent language for technical and scalable computing. The objective of this tutorial is to provide the audience with enough hands-on experience in Julia to attend the “Data Science with Julia” session, and start developing their own applications.

MT3: Broader Engagement (BE): Julia for Python Programmers
Organizer: Johannes P. Blaschke
Lawrence Berkeley National Laboratory, U.S.

This talk was given at the 2022 SIAM Conference on Mathematics of Data Science in San Diego, California, U.S. Learn more about SIAM Conferences at siam.org/conferences/about-siam-conferences