Julia for Data Analysis
by Bogumil Kaminski
English | 2023 | ISBN: 1633439364 | 474 pages | True PDF | 13.4 MB
Master core data analysis skills using Julia. Interesting hands-on projects guide you through time 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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