English | 2022 | ISBN: ‎ 1633439364, 978-1633439368 | 249 pages | True PDF | 7.2 MB

Master core data analysis skills using Julia.

Interesting hands-on projects guide you through series data, predictive models, popularity ranking, and more.

Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution.

Julia for Data Analysis teaches you how to perform core data science tasks with this amazing language. It's written by Bogumil Kaminski, a top contributor to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl. You'll learn how to write production-quality code in Julia, and utilize Julia's core features for data gathering, visualization, and working with data frames. Plus, the engaging hands-on projects get you into the action quickly.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.



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