A Primer on Scientific Programming with Python / by Hans Petter Langtangen.

Format:

Book

Author/Creator:

Langtangen, Hans Petter., Author.

Series:

Texts in Computational Science and Engineering, 2197-179X ; 6

Language:

English

Subjects (All):

Mathematics--Data processing.

Mathematics.

Computer programming.

Computer science--Mathematics.

Computer science.

Mathematical physics.

Computational Science and Engineering.

Programming Techniques.

Mathematics of Computing.

Theoretical, Mathematical and Computational Physics.

Local Subjects:

Computational Science and Engineering.

Programming Techniques.

Mathematics of Computing.

Theoretical, Mathematical and Computational Physics.

Physical Description:

1 online resource (XXXI, 922 p. 88 illus., 20 illus. in color.)

Edition:

5th ed. 2016.

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.

Summary:

The 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. From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small,IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python…” Joan Horvath, Computing Reviews, March 2015 .

Contents:

Preface

Computing with Formulas

Loops and Lists

Functions and Branching

User Input and Error Handling

Array Computing and Curve Plotting

Dictionaries and Strings

Introduction to Classes

Random Numbers and Simple Games

Object-Oriented Programming

Sequences and Difference Equations

Introduction to Discrete Calculus

Introduction to Differential Equations

A Complete Differential Equation Project

Programming of Differential Equations

Debugging

Migrating Python to Compiled Code

Technical Topics

References

Index.

Notes:

Includes bibliographical references and index.

ISBN:

9783662498873

3662498871

OCLC:

954466257