Python has dominated data science programming for the last few years, but there’s another rising star programming language seeing increased adoption and popularity—Julia.

As the fourth most popular programming language, many data teams and practitioners are turning their attention toward understanding Julia and seeing how it could benefit individual careers, business operations, and drive increased value across organizations.

Zacharias Voulgaris, PhD joins the show to talk about his experience with the Julia programming language and his perspective on the future of Julia’s widespread adoption. Zacharias is the author of Julia for Data Science. As a Data Science consultant and mentor with 10 years of international experience that includes the role of Chief Science Officer at three startups, Zacharias is an expert in data science, analytics, artificial intelligence, and information systems.

In this episode, we discuss the strengths of Julia, how data scientists can get started using Julia, how team members and leaders alike can transition to Julia, why companies are secretive about adopting Julia, the interoperability of Julia with Python and other popular programming languages, and much more.

Check out this month’s events: https://www.datacamp.com/data-driven-organizations-2022

Take the Introduction to Julia course for free!

https://www.datacamp.com/courses/introduction-to-julia

Julia for Data Science

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