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100   $a20191111d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aJulia Quick Syntax Reference $eA Pocket Guide for Data Science Programming /$fby Antonello Lobianco
205   $a1st ed. 2019.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2019.
215   $a1 online resource (XVII, 216 p. 66 illus.) 
300   $aIncludes index.
311 08$a9781484251898 
311 08$a148425189X 
327   $aPart 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.
330   $aThis 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 reference. This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages. In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer. You will: Set up the software needed to run Julia and your first Hello World example Work with types and the different containers that Julia makes available for rapid application development Use vectorized, classical loop-based code such as logical operators and blocks Explore functions by looking at arguments, return values, polymorphism, parameters, anonymous functions, and broadcasts Build custom structures in Julia Interface Julia with other languages such as C/C++, Python, and R Program a richer API, modifying the code before it is executed using expressions, symbols, macros, quote blocks, and more Maximize your code?s performance .
606   $aCompilers (Computer programs)
606   $aArtificial intelligence
606   $aData mining
606   $aComputer science$xMathematics
606   $aCompilers and Interpreters
606   $aArtificial Intelligence
606   $aData Mining and Knowledge Discovery
606   $aMathematics of Computing
615  0$aCompilers (Computer programs)
615  0$aArtificial intelligence.
615  0$aData mining.
615  0$aComputer science$xMathematics.
615 14$aCompilers and Interpreters.
615 24$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aMathematics of Computing.
676   $a005.13
700   $aLobianco$b Antonello$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064804
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906   $aBOOK
912   $a9910357836903321
996   $aJulia Quick Syntax Reference$92541034
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