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

Showing the solution

For the solution page, the only thing we need from the Request URI is the session ID. Then, we follow the same workflow to get the current Game object. Once we have it, we copy the list of articles into the history stack to display the game's solution using the existing rendering logic. We also set the steps_taken counter to the maximum because the game is considered a loss. Finally, we display the last article:

const solutionpage = HTTP.HandlerFunction() do req 
  uri_parts = parseuri( 
  game = gamesession(uri_parts[1]) 
  game.history = game.articles 
  game.steps_taken = Gameplay.MAX_NUMBER_OF_STEPS 
  article = game.articles[end]
  HTTP.Messages.Response(200, wikiarticle(game, article)) 

The solution page appears as follows, settling the game as a loss: