Book Image

Julia Programming Projects

By : Adrian Salceanu
Book Image

Julia Programming Projects

By: Adrian Salceanu

Overview of this book

Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing. After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI. Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting. We'll close with package development, documenting, testing and benchmarking. By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
About Packt

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 the difficulty settings from the page URL

This is the very first step. Remember that within our HandlerFunction, we have access to the Request object, req. All the Request objects expose a field called target that references the...