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

Defining the requirements for our package

The goal of our project is to create a Julia package that will make it very easy to report bugs in other Julia packages. We want to allow the users of our library to access a simple API for programmatic reporting of issues, without the need to go to GitHub ( to manually create a new issue.

In order to do this, we need to implement the following two features—a way to find out the GitHub URL of a registered package; and the means to access the GitHub API to register a new issue on the found repo. Given that Pkg is capable of cloning a package from GitHub using only the name of the package, we can safely assume that the information is available with our Julia install, and that somehow we'll be able to access that information ourselves. Then, the aptly named GitHub package will help us to interface with GitHub's API. We can start by adding it. Please make sure that the currently active project is IssueReporter. This should be indicated...