國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Julia quick syntax referencea pocket...

Lobianco, Antonello.

Julia quick syntax referencea pocket guide for data science programming /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Julia quick syntax referenceby Antonello Lobianco.
其他題名:	a pocket guide for data science programming /
作者:	Lobianco, Antonello.
出版者:	Berkeley, CA :Apress :2019.
面頁冊數:	xvii, 216 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Julia (Computer program language)
電子資源:	https://doi.org/10.1007/978-1-4842-5190-4
ISBN:	9781484251904$q(electronic bk.)

Julia quick syntax referencea pocket guide for data science programming /
Lobianco, Antonello.

Julia quick syntax referencea pocket guide for data science programming /[electronic resource] :by Antonello Lobianco. - Berkeley, CA :Apress :2019. - xvii, 216 p. :ill., digital ;24 cm.

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.

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 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.

ISBN: 9781484251904$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5190-4doiSubjects--Topical Terms:

797688
Julia (Computer program language)

LC Class. No.: QA76.73.J85 / L63 2019

Dewey Class. No.: 005.133

Julia quick syntax referencea pocket guide for data science programming /
LDR:03035nmm a2200337 a 4500 001 569737
003 DE-He213
005 20191111195123.0
006 m d
007 cr nn 008maaau
008 200723s2019 cau s 0 eng d
020 $a 9781484251904$q(electronic bk.)
020 $a 9781484251898$q(paper)
024 7 $a 10.1007/978-1-4842-5190-4 $2 doi
035 $a 978-1-4842-5190-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.J85 $b L63 2019
072 7 $a UMX $2 bicssc
072 7 $a COM051010 $2 bisacsh
072 7 $a UMX $2 thema
072 7 $a UMC $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.J85 $b L797 2019
100 1 $a Lobianco, Antonello. $3 855864
245 1 0 $a Julia quick syntax reference $h [electronic resource] : $b a pocket guide for data science programming / $c by Antonello Lobianco.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xvii, 216 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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 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.
650 0 $a Julia (Computer program language) $3 797688
650 0 $a Programming languages (Electronic computers) $3 184586
650 0 $a Computer programming. $3 181992
650 1 4 $a Programming Languages, Compilers, Interpreters. $3 274102
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Mathematics of Computing. $3 273710
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-5190-4
950 $a Professional and Applied Computing (Springer-12059)