What is Julia as a Second Language about?
Learn the awesome Julia programming language by building fun projects like a rocket launcher, a password keeper, and a battle simulator.
Julia as a Second Language covers:
- Data types like numbers, strings, arrays, and dictionaries
- Immediate feedback with Julia’s read-evaluate-print-loop (REPL)
- Simplify code interactions with multiple dispatch
- Sharing code using modules and packages
- Object-oriented and functional programming styles
Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. You’ll learn by coding engaging hands-on projects that encourage you to apply what you’re learning immediately. 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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. It offers developer-friendly features like garbage collection, dynamic typing, and a flexible approach to concurrency and distributed computing. It is the perfect mix of simplicity, flexibility and performance.
About the Book Julia as a Second Language introduces Julia by building on your existing programming knowledge. 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. Master types and data structures as you model a rocket launch. Use dictionaries to interpret Roman numerals. Use Julia’s unique multiple dispatch feature to send knights and archers into a simulated battle. Along the way, you’ll even compare the object-oriented and functional programming styles–Julia supports both!
What’s Inside - Data 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 Reader For readers comfortable with another programming language like Python, JavaScript, or C#.
About the Author Erik Engheim is a writer, conference speaker, video course author, and software developer.
Table of Contents PART 1 - BASICS 1 Why Julia?
2 Julia as a calculator
3 Control flow
4 Julia as a spreadsheet
5 Working with text
6 Storing data in dictionaries
PART 2 - TYPES 7 Understanding types
8 Building a rocket
9 Conversion and promotion
10 Representing unknow