東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Introduction to Python for engineers...

Nagar, Sandeep.

FindBook

Google Book

Amazon

博客來

Introduction to Python for engineers and scientists = open 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 scientists/ by 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.
內容註:	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.
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

Introduction to Python for engineers and scientists = open source solutions for numerical computation /
Nagar, Sandeep.

Introduction to Python for engineers and scientistsopen 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

Standard No.: 10.1007/978-1-4842-3204-0doiSubjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Introduction to Python for engineers and scientists = open source solutions for numerical computation /
LDR:02162nmm a2200289 a 4500 001 2133104
003 DE-He213
005 20180817113033.0
006 m d
007 cr nn 008maaau
008 181005s2018 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 3270501
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 729789
650 0 $a Computer programming. $3 527209
650 0 $a Open source software. $3 581998
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Python. $3 3201289
650 2 4 $a Programming Techniques. $3 892496
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 891123
710 2 $a SpringerLink (Online service) $3 836513
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)