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 11. Creating Julia Packages

We've come a long way since the beginning of our journey toward learning Julia. I hope you enjoyed this process of discovery as much as I did! We've covered a lot of ground, learning about many key topics while developing quite a suite of fully functional applications. Yet, there's one thing left in order to fully earn our Julia developer badge. The signature of every proficient Julia programmer—(drumroll, please!)—creating, publishing, and registering our own official Julia package!

In this chapter, we'll build a REPL app and we'll wrap it into a package. Our product will help Julia developers to easily report bugs they encounter in other Julia packages. Once the users install and configure our package, they will be able to open GitHub issues into the corresponding repo, without having to leave their REPL or IDE. In the process, we'll learn about many other very important aspects of programming with Julia, such as the following:

  • Using Pkg to scaffold packages...