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. You will:

• 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 such as logical operators and blocks
• Explore 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

Autorentext
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). 

Inhalt
Language core (book part)
Getting started (chapter)Allow reader to set up with the software needed to run Julia and let her run her first Hello World. Packages are introduced as early as this section.
     Why Julia
     Installing Julia
     Running Julia
     Main syntax elements
     Packages
     Help system
Data types (chapter)Make reader familiar with the Julia concept of types, showing her the different containers that Julia make available for rapid application development.
     Scalar types     Strings
     Concatenation     Arrays (lists)
     Multidimensional and nested arrays
     Tuples
     NamedTuples
     Dictionaries
     Sets
     Memory and copy issues
     Various notes on Data types
     Random numbers
     Missing, nothing and NaN
Control flow (chapter)Vectorised or classical loop-based code ? This section explains how to obtain them in Julia
     Logical operators     Do blocks
Functions (chapter)Julia is rich in the way you can handle functions, and this chapter try to present all the related notions to the reader
     Arguments
     Return value
     Multiple-dispatch (aka polymorphism)
     Templates (type parametrisation)     Functions as objects
     Call by reference / call by value
     Anonymous functions
     Broadcast
Custom structures (chapter)If you can from an object-oriented language you would expect this section. We show how you can organise your data in Julia and make it connect in your program.
     Defining a structure     Initialising an object and accessing its fields
     Implementation of the OO paradigm in Julia
     More on types
Input Output (chapter)Feed your program with data and retrieve its outputs
     File reading/writing
     Networking IO     Other IO
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