E-Book, Englisch, 223 Seiten, eBook
Lobianco Julia Quick Syntax Reference
1. Auflage 2019
ISBN: 978-1-4842-5190-4
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Pocket Guide for Data Science Programming
E-Book, Englisch, 223 Seiten, eBook
ISBN: 978-1-4842-5190-4
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark
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 tothe now stable Julia version 1.0 release.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
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.