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Please visit https://capture.udel.edu/channel/Data+Science+Community+Hour for recordings of previous events (must be logged in).

Julia for Data Science

Toby Driscoll

Professor of Mathematical Science, UD

Time: February 25, 2021 @ 4:30 PM to 5:30 PM
Location: Zoom

Since its inception in 2009, Julia has rapidly grown into a successful language and ecosystem for technical computing. Julia is designed to let you write code that looks like Numpy or MATLAB while running at the speed of C or Fortran. There are mature Julia packages importing well-known functionality, including layers over Matplotlib and scikit-learn, and it’s easy to call Python, R, MATLAB, or C directly from within Julia. But there are also outstanding native Julia tools for notebooks, data frames, images, graphics, statistics, differential equations, GPU computing, Bayesian inference, neural networks, and a unifying framework. I will introduce some of the major language features and then lead a walkthrough of a few straightforward data science workflows. Those who wish to run the walkthroughs on their own machines are advised to visit https://github.com/tobydriscoll/UDDataSciTutorial for some time-consuming setup steps.

Dr. Toby Driscoll is a Professor of Mathematical Sciences with a joint appointment in Biomedical Engineering at the University of Delaware. He is the author of four books, including Learning MATLAB, and researches scientific computing, mathematical software, and biomedical applications of computing and machine learning.

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