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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Bibliographic Details
Main Author: Lobianco, Antonello. author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2019.
Edition:1st ed. 2019.
Subjects:
Compilers (Computer programs).
Artificial intelligence.
Data mining.
Computer science > Mathematics.
Compilers and Interpreters.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Mathematics of Computing.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630866206719

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