Please log in to watch this conference skillscast.

Traditionally, if you wanted to write fast code for numeric computation, you used Fortran or C. Within the past two decades, you have seen an enormous shift toward languages which favor expressiveness over absolute speed. Much of scientific computing is now performed using dynamic, loosely typed languages, such as R or Python. Taking into account JavaScript's expressiveness, why not do your computing in JavaScript?

In this workshop, Athan Reines will first provide an overview of numeric computation in JavaScript, libraries currently available, and what makes these libraries competitive with and even superior to alternatives on other platforms. Next, he will guide attendees through a series of brief exercises to demonstrate use cases ranging from analytics to machine learning to exploratory data analysis and visualization. He will then show how to leverage Node and JavaScript to build feature rich numeric compute applications both at the command-line and in the browser. Finally, he will outline future steps and identify opportunities for community development of next-generation tools.

YOU MAY ALSO LIKE:

• Infiniteconf 2019 - The conference on Big Data and AI (in London on 4th - 5th July 2019)
• Brian Sletten's Data Science with Python Workshop (in London on 18th - 20th November 2019)
• Keynote by Steph Locke on Ethics for Data Science (in London on 20th May 2019)