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 4. Building the Wiki Game Web Crawler

Wow, Chapter 3Setting Up the Wiki Game, was quite a ride! Laying the foundation of our Wikipedia game took us on a real learning tour-de-force. After the quick refresher on how the web and web pages work, we dived deeper into the key parts of the language, studying the dictionary data structure and its corresponding data type, conditional expressions, functions, exception handling, and even the very handy piping operator (|>). In the process, we built a short script that uses a couple of powerful third-party packages, HTTP and Gumbo, to request a web page from Wikipedia, parse it as an HTML DOM, and extract all internal links from within the page. Our script is part of a proper Julia project, which employs Pkg to efficiently manage dependencies.

In this chapter, we'll continue the development of our game, implementing the complete workflow and the gameplay. Even if you are not a seasoned developer, it's easy to imagine that even a simple...