語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Practical concurrent Haskellwith big...
~
Mihailescu, Marius.
Practical concurrent Haskellwith big data applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practical concurrent Haskellby Stefania Loredana Nita, Marius Mihailescu.
其他題名:
with big data applications /
作者:
Nita, Stefania Loredana.
其他作者:
Mihailescu, Marius.
出版者:
Berkeley, CA :Apress :2017.
面頁冊數:
xv, 266 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Haskell (Computer program language)
電子資源:
http://dx.doi.org/10.1007/978-1-4842-2781-7
ISBN:
9781484227817$q(electronic bk.)
Practical concurrent Haskellwith big data applications /
Nita, Stefania Loredana.
Practical concurrent Haskell
with big data applications /[electronic resource] :by Stefania Loredana Nita, Marius Mihailescu. - Berkeley, CA :Apress :2017. - xv, 266 p. :ill., digital ;24 cm.
Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.
ISBN: 9781484227817$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-2781-7doiSubjects--Topical Terms:
295189
Haskell (Computer program language)
LC Class. No.: QA76.73.H37 / N583 2017
Dewey Class. No.: 005.133
Practical concurrent Haskellwith big data applications /
LDR
:02163nmm a2200325 a 4500
001
522452
003
DE-He213
005
20180327091639.0
006
m d
007
cr nn 008maaau
008
180521s2017 cau s 0 eng d
020
$a
9781484227817$q(electronic bk.)
020
$a
9781484227800$q(paper)
024
7
$a
10.1007/978-1-4842-2781-7
$2
doi
035
$a
978-1-4842-2781-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.H37
$b
N583 2017
072
7
$a
UMX
$2
bicssc
072
7
$a
UMC
$2
bicssc
072
7
$a
COM051010
$2
bisacsh
072
7
$a
COM010000
$2
bisacsh
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.H37
$b
N728 2017
100
1
$a
Nita, Stefania Loredana.
$3
793101
245
1 0
$a
Practical concurrent Haskell
$h
[electronic resource] :
$b
with big data applications /
$c
by Stefania Loredana Nita, Marius Mihailescu.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2017.
300
$a
xv, 266 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.
650
0
$a
Haskell (Computer program language)
$3
295189
650
0
$a
Big data.
$3
609582
650
0
$a
Cloud computing.
$3
378527
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
650
2 4
$a
Programming Techniques.
$3
274470
700
1
$a
Mihailescu, Marius.
$3
793102
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-2781-7
950
$a
Professional and Applied Computing (Springer-12059)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000147424
電子館藏
1圖書
電子書
EB QA76.73.H37 N728 2017
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-1-4842-2781-7
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入