A primer on scientific programming with Python / Hans Petter Langtangen.

By:

Langtangen, Hans Petter, 1962-

Material type: Text

TextSeries: Texts in computational science and engineering ; 6.Publisher: Berlin : Springer, 2016Edition: 5th editionDescription: xxxi, 914 pages : illustrations (some color) ; 24 cmContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

3662498863
9783662498866

Subject(s):

Summary: This book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.

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Item type	Current library	Call number	Status	Date due	Barcode
E-Resources	Main Library E-Resources	005.133 L286 (Browse shelf(Opens below))	Available		E000209

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Previous		No cover image available No cover image available	No cover image available No cover image available			No cover image available No cover image available		Next
Previous	005.133 H939 A beginners guide to Python 3 programming	005.133 K14 Learn to program with C	005.133 K18 Data Structures And Algorithms Made Easy data structures and algorithmic puzzles /	005.133 L286 A primer on scientific programming with Python /	005.133 L477 Python programming fundamentals /	005.133 M222 Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance	005.133 N147 Introduction to Python for engineers and scientists /	Next

Includes bibliographical references (page 907) and index

This book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.

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A primer on scientific programming with Python / Hans Petter Langtangen.

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