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
Introduction to Python for engineers...
~
Nagar, Sandeep.
Introduction to Python for engineers and scientistsopen source solutions for numerical computation /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introduction to Python for engineers and scientistsby Sandeep Nagar.
其他題名:
open source solutions for numerical computation /
作者:
Nagar, Sandeep.
出版者:
Berkeley, CA :Apress :2018.
面頁冊數:
xvii, 254 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Python (Computer program language)
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3204-0
ISBN:
9781484232040$q(electronic bk.)
Introduction to Python for engineers and scientistsopen source solutions for numerical computation /
Nagar, Sandeep.
Introduction to Python for engineers and scientists
open source solutions for numerical computation /[electronic resource] :by Sandeep Nagar. - Berkeley, CA :Apress :2018. - xvii, 254 p. :ill., digital ;24 cm.
1. Philosophy of Python -- 2. Introduction to the Basics of Python -- 3. Ipython -- 4. Data Types -- 5. Operators -- 6. Arrays -- 7. Plotting -- 8. Functions and Loops -- 9. Object-Oriented Programming -- 10. Numerical Computing Formalism.
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops.
ISBN: 9781484232040$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3204-0doiSubjects--Topical Terms:
215247
Python (Computer program language)
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Introduction to Python for engineers and scientistsopen source solutions for numerical computation /
LDR
:02162nmm a2200289 a 4500
001
530221
003
DE-He213
005
20180817113033.0
006
m d
007
cr nn 008maaau
008
181107s2018 cau s 0 eng d
020
$a
9781484232040$q(electronic bk.)
020
$a
9781484232033$q(paper)
024
7
$a
10.1007/978-1-4842-3204-0
$2
doi
035
$a
978-1-4842-3204-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.P98
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.P98
$b
N147 2018
100
1
$a
Nagar, Sandeep.
$3
797687
245
1 0
$a
Introduction to Python for engineers and scientists
$h
[electronic resource] :
$b
open source solutions for numerical computation /
$c
by Sandeep Nagar.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xvii, 254 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Philosophy of Python -- 2. Introduction to the Basics of Python -- 3. Ipython -- 4. Data Types -- 5. Operators -- 6. Arrays -- 7. Plotting -- 8. Functions and Loops -- 9. Object-Oriented Programming -- 10. Numerical Computing Formalism.
520
$a
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops.
650
0
$a
Python (Computer program language)
$3
215247
650
0
$a
Computer programming.
$3
181992
650
0
$a
Open source software.
$3
200208
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Python.
$3
763308
650
2 4
$a
Programming Techniques.
$3
274470
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3204-0
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
000000151863
電子館藏
1圖書
電子書
EB QA76.73.P98 N147 2018 2018
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/10.1007/978-1-4842-3204-0
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