Julia as a Second Language: General purpose programming with a taste of data science

В этом материале разберём тему: julia.

You’ll learn by coding engaging hands-on projects that encourage you to apply what you’re learning immediately. Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. Don’t be put off by Julia’s reputation as a scientific programming language—there’s no data science or numerical computing knowledge required. You can get started with what you learned in high school math classes.

It offers developer-friendly features like garbage collection, dynamic typing, and a flexible approach to concurrency and distributed computing. About the TechnologyOriginally designed for high-performance data science, Julia has become an awesome general purpose programming language. It is the perfect mix of simplicity, flexibility and performance.

You’ll see Julia in action as you create a series of interesting projects that guide you from Julia’s basic syntax through its advanced features. About the BookJulia as a Second Language introduces Julia by building on your existing programming knowledge. Master types and data structures as you model a rocket launch. Use Julia’s unique multiple dispatch feature to send knights and archers into a simulated battle. Use dictionaries to interpret Roman numerals. Along the way, you’ll even compare the object-oriented and functional programming styles–Julia supports both!

What’s InsideData types like numbers, strings, arrays, and dictionaries

Immediate feedback with Julia’s read-evaluate-print-loop (REPL)

Simplify code interactions with multiple dispatch

Share code using modules and packages

About the ReaderFor readers comfortable with another programming language like Python, JavaScript, or C#.  

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