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Introduction to scientific programmi...

Sundnes, Joakim.

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Introduction to scientific programming with Python

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to scientific programming with Python/ by Joakim Sundnes.
Author:	Sundnes, Joakim.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiv, 148 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1007/978-3-030-50356-7
ISBN:	9783030503567

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.6..

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

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

729789
Python (Computer program language)

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

Dewey Class. No.: 005.133

Introduction to scientific programming with Python
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100 1 $a Sundnes, Joakim. $3 3530377
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.
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650 2 4 $a Programming Techniques. $3 892496
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650 2 4 $a Mathematics of Computing. $3 891213
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856 4 0 $u https://doi.org/10.1007/978-3-030-50356-7
950 $a Mathematics and Statistics (SpringerNature-11649)