Julia as a Second Language, Video Edition

Free Download Julia as a Second Language, Video Edition
Released 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8h 51m | Size: 1.23 GB
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.
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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