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


It is exciting to see our package finally ready!

While developing it, we've also learned about Julia's powerful toolbox, and about some of the most important best practices of software development in general—TDD, unit testing, benchmarking, and documenting our code base and publishing the resulting documentation.

This also concludes our journey into learning the Julia language. We've come a long way since opening the REPL for the first time—and you have achieved some impressive feats! Data analysis, plotting, web scraping, recommenders, supervised and unsupervised machine learning, and time series analysis and forecasting! You are now able to do all these things using Julia. Wow! That's quite an amazing track record indeed! And, if doing all this seemed easy, it's all due to Julia's incredible features. The productive REPL, the simple package installation, the handy plotting packages, or the readable syntax; they all make programming easy and fun.

Julia really is a new breed of programming...