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

Documenting our package

Our package is now complete! Let's make it easy for our users to take advantage of the amazing convenience provided by IssueReporter—we'll supply them an informative documentation. We already know how to document our code by using DocStrings - which can be used by ourselves and other developers to understand our source code. It's also used by the REPL's help system (remember from Chapter 1Getting Started with Julia Programming that you can type ? at the beginning of the line to switch the REPL to help mode). You'll be happy to hear that we can also generate package documentation using the same DocStrings, with the help of a package called Documenter. Please add it with (IssueReporter) pkg> add Documenter.

So, the first thing to do is add some DocStrings to our functions. Keep in mind that the official recommendation is to include the function's signature together with a small description and a few examples. For instance, the documentation for the IssueReporter...