Practical Julia: A Hands-On Introduction for Scientific Minds

Learn to use Julia as a tool for research, and solve problems of genuine  interest—like modeling the course of a pandemic—in this practical,  hands-on introduction to the language.

The Julia programming  language is acclaimed in scientific circles for its unparalleled ease,  interactivity, and speed. Practical Julia is a comprehensive  introduction to the language, making it accessible even if you’re new to  programming.

Julia is a fairly new programming language. It  emerged into the public sphere in 2012 after two and a half years of  research by four computer scientists at MIT. Julia’s creators explained  why they needed to create a new language: they were “greedy.” There were  already languages that were fast, such as C and Fortran. They were well  suited to writing programs that ran on giant supercomputers to simulate  the weather or design airplanes. But their syntax was not the  friendliest; programs in these languages demanded a certain amount of  ceremony. And they didn’t provide an interactive experience; one could  not improvise and explore at the terminal, but had to submit to an  edit-compile-run discipline.

Dive in with a thorough guide to  Julia’s syntax, data types, and best practices, then transition to craft  solutions for challenges in physics, statistics, biology, mathematics,  scientific machine learning, and more. Whether you’re solving  computational problems, visualizing data, writing simulations, or  developing specialized tools, Practical Julia will show you how.

As you work through the book, you’ll

•  Use comprehensions and generators, higher-level functions, array  initialization and manipulation, and perform operations on Unicode text
•  Create new syntax and generate code with metaprogramming and macros,  and control the error system to manipulate program execution
• Visualize everything from mathematical constructs and experimental designs to algorithm flowcharts
• Elevate performance using Julia’s unique type system with multiple dispatch
• Delve into scientific packages tailored for diverse fields like fluid dynamics, agent-based modeling, and image processing

Whether  your interest is in scientific research, statistics, mathematics, or  just the fun of programming with Julia, Practical Julia will have you  writing high-performance code that can do real work in no time.