Julia quick syntax reference : a pocket guide for data science programming / Antonello Lobianco.
Lobianco, Antonello. author.
2019
QA76.73.J85
Available Online

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Title Julia quick syntax reference : a pocket guide for data science programming / Antonello Lobianco.
Author Lobianco, Antonello. author.
ISBN 9781484251904 (electronic book)
1484251903 (electronic book)
9781484251898
DOI https://doi.org/10.1007/978-1-4842-5190-4
https://doi.org/10.1007/978-1-4842-5
Published Berkeley, CA : Apress, 2019.
Language English
Description 1 online resource (xvii, 216 pages) : illustrations.
Item Number 10.1007/978-1-4842-5190-4 doi
10.1007/978-1-4842-5
Call Number QA76.73.J85
Dewey Decimal Classification 005.133
Summary 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..
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 18, 2019).
Available in Other Form Julia Quick Syntax Reference : A Pocket Guide for Data Science Programming
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Part 1. Language Core
1. Getting Started
2. Data Types and Structures
3. Control Flow and Functions
4. Custom Types
5. Input ? Output
6. Metaprogramming and Macros
7. Interfacing Julia with Other Languages
8. Efficiently Write Efficient Code
Part 2. Packages Ecosystem
9. Working with Data
10. Mathematical Libraries
11. Utilities.

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