Past Meetup

Livestream: Intro to Julia for Pythonic Data Scientists

This Meetup is past

67 people went

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Details

This event will be Livestreamed here:

https://livestream.com/accounts/23925505/events/8591462/edit

Since the release of Julia 1.0 last August, Julia has continued to pick up steam for technical computing applications. We'll see some reasons you should care about the language that "walks like Python, runs like C", including:

- Ease of programming
- Use in Jupyter notebooks
- Data manipulation libraries
- Easy connection to sklearn and other Python libraries
- State of the art libraries for constrained optimization, differential equations, and machine learning
- Powerful extensibility

And more!

Chad enjoys that data science gives practical approximations to the complex uncertainties of reality.

Chad comes to Metis from a diverse technical background. After earning his mathematics PhD from Indiana University, Chad joined Pacific Northwest National Laboratory to work on statistical and computational challenges ranging from homeland security to high-performance computing and machine learning research. Following several of his publications at top-tier ML conferences, he turned to probabilistic programming, then still in its infancy. He has used these systems for consulting projects for industrial clients, and has led development and publication of several new ones along the way. In his spare time, Chad enjoys a wide range of music, and practices martial arts, where he has black belts in several styles.

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

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