Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming
By 作者: Antonello Lobianco
ISBN-10 书号: 148425189X
ISBN-13 书号: 9781484251898
Edition 版本: 1st ed.
Release Finelybook 出版日期: 2019-11-12
pages 页数: (216 )
Book Description to Finelybook sorting
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
Part l.Language Core
2.Data Types and Structures
3.Control Flow and Functions
6.Metaprogramming and Macros
7.Interfacing Julia with Other Languages
8.Effectively Write Efficient Code
Part Il.Packages Ecosystem
9.Working with Data