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)

Starting a new game

Excellent! Now, let's focus on the functionality for starting a new game. Here, we need to implement the following steps:

  1. Extract the difficulty settings from the URL.
  2. Start a new game. This game should have an ID, which will be our session id. Plus, it should keep track of the list of articles, progress, navigation history, the total number of steps taken, and the difficulty.
  3. Render the first Wikipedia article.
  4. Set up in-article navigation. We need to make sure that the links within the Wikipedia article will properly link back into our app, and not the Wikipedia website itself.
  5. Display information about the game session, such as the objective (start and end articles), number of steps taken, and so on.

We'll look at all of these steps next.

Extracting...