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

Julia as a Second Language: General purpose programming with a taste of data science
Date: May 2nd, 2023
ISBN: 1617299715
Language: English
Number of pages: 400 pages
Format: EPUB
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 jаvascript. 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.

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

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