The IJulia kernel was the first non-Python kernel to be written for the Jupyter notebook, and Julia’s needs have informed development over the last 4 years.
Julia hits a sweet spot in between an interactive, dynamic language, and a compiled high-performance language, by enabling both types of approach simultaneously. It is thus perfectly suited for use in a notebook, where the interactivity shines, while taking no performance hit whatsoever.
We will give an overview of some of Julia’s unique features and how they work hand-in-hand with the notebook to give an unparalleled environment for developing high-performance computational science and engineering applications.
For exhibition and sponsorship opportunities, email jupytersponsorships@oreilly.com
For information on trade opportunities with JupyterCon, email partners@oreilly.com
View a complete list of JupyterCon contacts
©2017, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • confreg@oreilly.com