Authors:
The first quick reference on Julia
Provides important information as quickly as possible
Contains information for today's data scientists and programmers
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsThis is a preview of subscription content, access via your institution.
Table of contents (11 chapters)
-
Front Matter
-
Packages Ecosystem
-
Front Matter
-
-
Back Matter
About this book
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.
Keywords
- Julia
- math
- data science
- statistics
- computer science
- CS
- programming
- language
- software
- source
- code
- development
- analysis
Authors and Affiliations
-
Nancy, France
Antonello Lobianco
About the author
Bibliographic Information
Book Title: Julia Quick Syntax Reference
Book Subtitle: A Pocket Guide for Data Science Programming
Authors: Antonello Lobianco
DOI: https://doi.org/10.1007/978-1-4842-5190-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Antonello Lobianco 2019
Softcover ISBN: 978-1-4842-5189-8Published: 12 November 2019
eBook ISBN: 978-1-4842-5190-4Published: 11 November 2019
Edition Number: 1
Number of Pages: XVII, 216
Number of Illustrations: 66 b/w illustrations
Topics: Compilers and Interpreters, Artificial Intelligence, Data Mining and Knowledge Discovery, Mathematics of Computing