ENGLISH

Julia Quick Syntax Reference : A Pocket Guide for Data Science Programming

Book information

Publisher
Apress
Year
2024
ISBN
9798868809651, 9798868809644
Language
english
Format
EPUB
Filesize
2 MB (2222033 bytes)
Pages
371\0
Orientation
landscape
Paginated
yes
Scanned
no
Time added
2025-01-07 11:12:26

Description

Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages. 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. The Second Edition delves deeper into modules, environments, and parallelism in Julia. It covers random numbers, reproducibility in stochastic computations, and adds a section on probabilistic analysis. Finally, it provides forward-thinking introductions to AI and machine learning workflows using BetaML, including regression, classification, clustering, and more, with practical exercises and solutions for self-learners.

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