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)

Building the Wiki Game Web Crawler

Wow, Chapter 12Setting Up the Wiki Game, was quite a ride! Laying the foundation of our Wikipedia game took us on a real learning tour-de-force. After the quick refresher on how the web and web pages work, we dived deeper into the key parts of the language, studying the dictionary data structure and its corresponding data type, conditional expressions, functions, exception handling, and even the very handy piping operator (|>). In the process, we built a short script that uses a couple of powerful third-party packages, HTTP and Gumbo, to request a web page from Wikipedia, parse it as an HTML DOM, and extract all internal links from within the page. Our script is part of a proper Julia project, which employs Pkg to efficiently manage dependencies.

In this chapter, we'll continue the development of our game, implementing the complete...