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

Lobianco, Antonello

ISBN 10: 148425189X / ISBN 13: 9781484251898

Published by Apress, 2019

About this Item

Seller Inventory # EBBV.148425189X.N

Bibliographic Details

• Title: Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming
• Publisher: Apress
• Publication Date: 2019
• Language: English
• ISBN 10: 148425189X
• ISBN 13: 9781484251898
• Binding: Soft cover
• Condition: new

About this title

Synopsis

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference. 

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. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages.  

In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer.

 

What You Will Learn  

• Set up the software needed to run Julia and your first Hello World example
• Work with types and the different containers that Julia makes available for rapid application development
• Use vectorized, classical loop-based code, logical operators, and blocks
• Explore Julia functions by looking at arguments, return values, polymorphism, parameters, anonymous functions, and broadcasts
• Build custom structures in Julia
• Interface Julia with other languages such as C/C++, Python, and R
• Program a richer API, modifying the code before it is executed using expressions, symbols, macros, quote blocks, and more
• Maximize your code's performance 

Who This Book Is For

Experienced programmers new to Julia, as well as existing Julia coders new to the now stable Julia version 1.0 release.

 

Update 2021.Feb.07: code snippets on the GitHub repository checked and updated to Julia 1.6 and today's version of the packages.

While Julia itself has been remarkable stable starting from its 1.0 release, some packages underwent few but important changes in their API (notably DataFrames and JuMP).

The code snippets in the GitHub repository (github.com/Apress/julia-quick-syntax-reference) associated to the book have all been checked and updated to the latest versions of the packages and they all work with the upcoming Julia 1.6 release, with the exception of those related to the Cxx package which requires Julia 1.1-1.3.

Project.toml and Manifest.toml files have been added to the repository. See the readme on the GitHub repository on how to use them so that you can work with the same exact versions of all the packages (and dependencies) that I used when I created or checked the code snippets.

About the Author

Antonello Lobianco, PhD is a research engineer employed by a French grande école (polytechnic university). He works on the biophysical and economic modelling of the forest sector and is responsible for the lab models portfolio. He does programming in C++, Perl, PHP, Visual Basic, Python, and Julia. He teaches environmental and forest economics at undergraduate and graduate levels and modelling at PhD level.  For a couple of years, he has followed the development of Julia as it fits his modelling needs. He is the author of a few Julia packages (search sylvaticus on GitHub).