Julia Quick Syntax Reference : A Pocket Guide for Data Science Programming

Julia Quick Syntax Reference A Pocket Guide for Data Science Programming

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy refer...

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Detalles Bibliográficos
Autor principal: Lobianco, Antonello. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2019.
Edición:1st ed. 2019.
Materias:
Compilers (Computer programs).
Artificial intelligence.
Data mining.
Computer science > Mathematics.
Compilers and Interpreters.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Mathematics of Computing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630866206719
Tabla de Contenidos:
  • Part 1. Language Core
  • 1. Getting Started
  • 2. Data Types and Structures
  • 3. Control Flow and Functions
  • 4. Custom Types
  • 5. Input – Output
  • 6. Metaprogramming and Macros
  • 7. Interfacing Julia with Other Languages
  • 8. Efficiently Write Efficient Code
  • Part 2. Packages Ecosystem
  • 9. Working with Data
  • 10. Mathematical Libraries
  • 11. Utilities.

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