The Julia programming language can be used to write all types of applications, but its features are especially powerful for numerical analysis and computational science. This comprehensive introduction to the language shows you exactly how to take advantage of Julia's particular strengths, apply them to real-world problems, and write effective programs.

You'll be guided step-by-step through the syntax and then move on to using Julia to create efficient applications for use in fields such as biology, physics, math, statistics, and scientific machine learning. Not only will you develop the Julia knowledge needed for solving computational problems, but you'll also learn how to explore and visualize data, solve equations, write simulations, and create libraries. Additional online resources include ready-to-run code samples, illustrations, and supplemental animations.