Julia as a Second Language you own this product

Erik Engheim
  • MEAP began March 2022
  • Publication in February 2023 (estimated)
  • ISBN 9781617299711
  • 414 pages (estimated)
  • printed in black & white
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Do you want to learn Julia? Get this book!

Tom Heiman
Look inside
Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations.

Julia as a Second Language covers:

  • How Julia implements data types such as numbers, strings, arrays, and dictionaries
  • Solving problems with both object-oriented and functional programming
  • Getting immediate feedback with Julia’s read-evaluate-print-loop (REPL)
  • Taking advantage of Julia’s powerful multiple dispatch system
  • Sharing code using modules and packages

Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. It skips programming basics and dives straight into Julia’s unique features. You’ll learn by coding engaging hands-on projects that encourage you to apply what you’re learning immediately.

about the technology

Julia is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia’s strong numerical programming features make it a favorite of data scientists, it’s also an awesome general purpose programming language. Julia’s users call it the “goldilocks language,” with a “just right” balance of performance and productivity.

about the book

Julia as a Second Language makes it easy to add Julia to your programming toolbox. You’ll learn about Julia’s type system and data structures by modeling the launch of a space rocket, use dictionaries to parse Roman numerals, and discover tuples and arrays through tracking pizza sales. You’ll even use Julia’s unique multiple dispatch feature to send knights and archers into a simulated battle. By the time you’re finished, you’ll be confident in the foundations of Julia and ready to dive into a specialized field like machine learning or data science.

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. Research scientists, data analysts and machine learning professionals will appreciate how easy Julia makes it to handle and explore data sets. Experienced programmers will love to learn about Julia’s interesting metaprogramming capabilities and the exciting possibilities of the language.

about the reader

Readers need basic skills 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. He has spent much of his career developing 3D modeling software for reservoir modeling and simulation in the Norwegian gas and oil industry. Erik also spent several years as an iOS and Android developer.

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This book is easy to read and follow. What else can a reader ask to a book for beginners?

Emanuele Piccinelli

I found this book both easy to grasp and an exciting read. I haven't read too many books that make learning a new language so easy!

Patrick Regan