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)

Setting Up the Wiki Game

I hope you're excited about Julia by now. The friendly, expressive, and intuitive syntax, the powerful read-eval-print loop (REPL), the great performance, and the richness of both built-in and third-party libraries are a game-changing combination for data science in particular—and programming in general. 

The foundation we've laid in the previous chapters are now strong enough to allow us to develop pretty much any kind of program using Julia. Hard to believe? Well, here's the proof—in the next three chapters, we'll develop a web-based game with Julia!

It will follow the narrative of the internet-famous Six Degrees of Wikipedia. If you've never heard of it, the idea is that any two articles on Wikipedia can be connected, using only the links on the pages, in six clicks or fewer. It is also called six degrees...