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

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.

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).