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)

The game plan

We're onto the last stage of our project—the web UI. Let's start by discussing the spec; we need to lay out the blueprint before we can proceed with the implementation.

The player will start on the landing page. This will display the rules and will provide options for launching a new game, allowing the user to choose a difficulty level. Following this starting point, the player will be redirected to the new game page. Here, taking into account the selected difficulty level, we'll bootstrap a new game session by fetching the articles with the algorithm we wrote in the previous chapter. Once we pick the articles that represent the Six Degrees of Wikipedia, we will display a heading with the game's objective—the titles of the start and end articles. We'll also display the content of the first article, thus kickstarting the game...