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

Introduction to scientific programmi...

SpringerLink (Online service)

Introduction to scientific programming with Python

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to scientific programming with Pythonby Joakim Sundnes.
作者:	Sundnes, Joakim.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xiv, 148 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Python (Computer program language)
電子資源:	https://doi.org/10.1007/978-3-030-50356-7
ISBN:	9783030503567$q(electronic bk.)

Introduction to scientific programming with Python
Sundnes, Joakim.

Introduction to scientific programming with Python[electronic resource] /by Joakim Sundnes. - Cham :Springer International Publishing :2020. - xiv, 148 p. :ill., digital ;24 cm. - Simula SpringerBriefs on computing,v.62512-1677 ;. - Simula SpringerBriefs on computing ;v.1..

Getting started with Python -- Computing with formulas -- Loops and lists -- Functions and branching -- User input and error handling -- Arrays and plotting -- Dictionaries and strings -- Classes -- Object-oriented programming.

Open access.

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

ISBN: 9783030503567$q(electronic bk.)

Standard No.: 10.1007/978-3-030-50356-7doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98 / S85 2020

Dewey Class. No.: 005.133

Introduction to scientific programming with Python
LDR:02315nmm a2200349 a 4500 001 593300
003 DE-He213
005 20201021175553.0
006 m d
007 cr nn 008maaau
008 210727s2020 sz s 0 eng d
020 $a 9783030503567$q(electronic bk.)
020 $a 9783030503550$q(paper)
024 7 $a 10.1007/978-3-030-50356-7 $2 doi
035 $a 978-3-030-50356-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.P98 $b S85 2020
072 7 $a PDE $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a PDE $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.P98 $b S958 2020
100 1 $a Sundnes, Joakim. $3 884643
245 1 0 $a Introduction to scientific programming with Python $h [electronic resource] / $c by Joakim Sundnes.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 148 p. : $b ill., digital ; $c 24 cm.
490 1 $a Simula SpringerBriefs on computing, $x 2512-1677 ; $v v.6
505 0 $a Getting started with Python -- Computing with formulas -- Loops and lists -- Functions and branching -- User input and error handling -- Arrays and plotting -- Dictionaries and strings -- Classes -- Object-oriented programming.
506 $a Open access.
520 $a This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.
650 0 $a Python (Computer program language) $3 215247
650 1 4 $a Computational Science and Engineering. $3 274685
650 2 4 $a Professional Computing. $3 763344
650 2 4 $a Programming Techniques. $3 274470
650 2 4 $a Software Engineering/Programming and Operating Systems. $3 273711
650 2 4 $a Mathematics of Computing. $3 273710
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Simula SpringerBriefs on computing ; $v v.1. $3 741740
856 4 0 $u https://doi.org/10.1007/978-3-030-50356-7
950 $a Mathematics and Statistics (SpringerNature-11649)