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Julia Quick Syntax Reference

A Pocket Guide for Data Science Programming

  • Book
  • © 2019

Overview

Authors:
  1. Antonello Lobianco

    1. Nancy, France

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  • The first quick reference on Julia
  • Provides important information as quickly as possible
  • Contains information for today's data scientists and programmers

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Language Core

    1. Front Matter

      Pages 1-1
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    2. Getting Started

      • Antonello Lobianco
      Pages 3-16

    3. Data Types and Structures

      • Antonello Lobianco
      Pages 17-40

    4. Control Flow and Functions

      • Antonello Lobianco
      Pages 41-55

    5. Custom Types

      • Antonello Lobianco
      Pages 57-66

    6. Input/Output

      • Antonello Lobianco
      Pages 67-80

    7. Metaprogramming and Macros

      • Antonello Lobianco
      Pages 81-90

    8. Interfacing Julia with Other Languages

      • Antonello Lobianco
      Pages 91-111

    9. Effectively Write Efficient Code

      • Antonello Lobianco
      Pages 113-133

  3. Packages Ecosystem

    1. Front Matter

      Pages 135-135
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    2. Working with Data

      • Antonello Lobianco
      Pages 137-175

    3. Mathematical Libraries

      • Antonello Lobianco
      Pages 177-197

    4. Utilities

      • Antonello Lobianco
      Pages 199-209

  4. Back Matter

    Pages 211-216
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Keywords

About this book

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 



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.


Authors and Affiliations

  • Nancy, France

    Antonello Lobianco

About the author

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). 


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