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


Julia focuses on scientific computing and data science. But thanks to its great qualities as a generic programming language, its native parallel computing features, and its performance, we have an excellent use case for Julia in the area of web development.

The package ecosystem provides access to a powerful set of libraries dedicated to web programming. They are relatively low level, but still abstract away most of the complexities of working directly with the network stack. The HTTP package provides a good balance between usability, performance, and flexibility.

The fact that we managed to build a fairly complex (albeit small) web app with so little code is a testimony to the power and expressiveness of the language and to the quality of the third-party libraries. We did a great job with our learning project—it's now time to relax a bit and enjoy a round of Six Degrees of Wikipedia, Julia style!