| Description |
1 online resource (1 volume) |
| Note |
"From Learning Julia : rapid technical computing and data analysis by Spencer Russell, Avik Sengupta & Leah Hanson"--Cover |
|
Date of publication from resource description page. |
| Summary |
What you'll learn--and how you can apply it Julia's type system is one of its key features, and enables both flexible programming and fast performance. But, what is a type and how can it optimize your code? In this lesson, we'll introduce types in Julia, and discuss how to use them effectively in your code. We'll explore Julia's built-in types as well as show you how to define your own, including defining custom constructor methods. We'll also help you get a feel for various design decisions you'll face, such as when to use mutable vs. immutable types. This lesson is for you because You are a relatively new Julia developer looking for a firm foundation in Julia's type system. You want to write code that is high-performance without sacrificing maintainability. Prerequisites: None Materials or downloads needed: Julia 0.6 About the instructors Spencer Russell is a researcher and PhD candidate at the MIT Media Lab, where his work has ranged from wireless mesh networks and sensor infrastructure to audio spatialization and. |
| Subject |
Julia (Computer program language)
|
|
Dynamic programming.
|
|
Data structures (Computer science)
|
|
Julia (Langage de programmation) |
|
Programmation dynamique. |
|
Structures de données (Informatique) |
|
Data structures (Computer science) |
|
Dynamic programming |
|
Julia (Computer program language) |
| Added Author |
Russell, Spencer, author.
|
| Added Title |
Learning Julia : rapid technical computing and data analysis.
|
| Other Form: |
Print version: Hanson, Leah. Learning Julia : introduction to types. Sebastopol, California : O'Reilly Media, 2017 9781491999646 |
| ISBN |
9781491999646 |
|
1491999640 |
|
More Resources