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

Chapter 5. Adding a Web UI for the Wiki Game

Developing the backend of our game was quite a learning experience. This strong foundation will serve us well—the modular approach will allow us to easily convert the read-eval-print loop (REPL) app into a web app, while our understanding of types will prove to be priceless when dealing with Julia's web stack and its rich taxonomy.

We're now entering the last stage of our game development journey—building a web user interface for the Six Degrees of Wikipedia. Since building a full-featured web app is no simple feat, this last part will be dedicated to this task alone. In the process, we will learn about the following topics:

  • Julia's web stack; namely, the HTTP package and its main components—Server, Router, HandlerFunction, and Response
  • Architecting a web app to take advantage of HTTP and integrate it with existing Julia modules
  • Exposing features on the web by defining routes that map URLs to Julia functions
  • Spawning a web server to handle user requests...