Julia Quick Syntax Reference (PDF)

Name: Julia Quick Syntax Reference
Brand: Springer-Verlag GmbH
SKU: 130752462
Price: 56.99 EUR
Availability: OnlineOnly

A Pocket Guide for Data Science Programming (Sprache: Englisch)

Autor: Antonello Lobianco

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Julia Quick Syntax Reference, Antonello Lobianco

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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...

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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

Autoren-Porträt von Antonello Lobianco

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).