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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Putting the "Ju" in Jupyter

Moderated by: David P. Sanders (Department of Physics, Faculty of Sciences, National University of Mexico)

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.