語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Julia Quick Syntax Reference = A Poc...
~
SpringerLink (Online service)
Julia Quick Syntax Reference = A Pocket Guide for Data Science Programming /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Julia Quick Syntax Reference/ by Antonello Lobianco.
其他題名:
A Pocket Guide for Data Science Programming /
作者:
Lobianco, Antonello.
面頁冊數:
XVII, 216 p. 66 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Programming languages (Electronic computers). -
電子資源:
https://doi.org/10.1007/978-1-4842-5190-4
ISBN:
9781484251904
Julia Quick Syntax Reference = A Pocket Guide for Data Science Programming /
Lobianco, Antonello.
Julia Quick Syntax Reference
A Pocket Guide for Data Science Programming /[electronic resource] :by Antonello Lobianco. - 1st ed. 2019. - XVII, 216 p. 66 illus.online resource.
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
Standard No.: 10.1007/978-1-4842-5190-4doiSubjects--Topical Terms:
1127615
Programming languages (Electronic computers).
LC Class. No.: QA76.7-76.73
Dewey Class. No.: 005.13
Julia Quick Syntax Reference = A Pocket Guide for Data Science Programming /
LDR
:03366nam a22004095i 4500
001
1012042
003
DE-He213
005
20200702125841.0
007
cr nn 008mamaa
008
210106s2019 xxu| s |||| 0|eng d
020
$a
9781484251904
$9
978-1-4842-5190-4
024
7
$a
10.1007/978-1-4842-5190-4
$2
doi
035
$a
978-1-4842-5190-4
050
4
$a
QA76.7-76.73
050
4
$a
QA76.76.C65
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
005.13
$2
23
100
1
$a
Lobianco, Antonello.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1306302
245
1 0
$a
Julia Quick Syntax Reference
$h
[electronic resource] :
$b
A Pocket Guide for Data Science Programming /
$c
by Antonello Lobianco.
250
$a
1st ed. 2019.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2019.
300
$a
XVII, 216 p. 66 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Programming languages (Electronic computers).
$3
1127615
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Data mining.
$3
528622
650
0
$a
Computer science—Mathematics.
$3
1253519
650
1 4
$a
Programming Languages, Compilers, Interpreters.
$3
669782
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Mathematics of Computing.
$3
669457
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484251898
776
0 8
$i
Printed edition:
$z
9781484251911
856
4 0
$u
https://doi.org/10.1007/978-1-4842-5190-4
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入