Book Image

Julia 1.0 Programming Complete Reference Guide

By : Ivo Balbaert, Adrian Salceanu
Book Image

Julia 1.0 Programming Complete Reference Guide

By: Ivo Balbaert, Adrian Salceanu

Overview of this book

Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI). You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs. Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system. By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications. This Learning Path includes content from the following Packt products: • Julia 1.0 Programming - Second Edition by Ivo Balbaert • Julia Programming Projects by Adrian Salceanu
Table of Contents (18 chapters)

Collection Types

Collections of values appear everywhere in programs, and Julia has the most important built-in collection types. In Chapter 2, Variables, Types, and Operations, we introduced two important types of collection: arrays and tuples. In this chapter, we will look more deeply into multidimensional arrays (or matrices), and into the tuple type as well. A dictionary type, where you can look up a value through a key, is indispensable in a modern language, and Julia has this too. Finally, we will explore the set type. Like arrays, all these types are parameterized; the type of their elements can be specified at the time of object construction.

Collections are also iterable types, the types over which we can loop with for or an iterator producing each element of the collection successively. The iterable types include string, range, array, tuple, dictionary, and set...