Free Download Julia Quick Syntax Reference: A Pocket Guide for Data Science ProgrammingEnglish | 2024 | ASIN: B0DF4THH46 | 376 Pages | PDF EPUB (True) | 7 MB
This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. At a more applied level, you will learn how to use Julia packages for data analysis, numerical optimization, symbolic computation, and machine learning, and how to present your results in dynamic documents.
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