A Primer on Scientific Programming with Python, 5th Edition

Authors: Hans Petter Langtangen



Example-oriented text with all applications taken from science and engineering

Aimed at newcomers to programming and Python, but proved to be useful for professionals too

All examples are accompanied by complete program codes, which can be modified to the reader's needs

Covers both Matlab-style "simple" programming and object-oriented programming

Demonstrates how Python can be an alternative to Matlab in scientific computing

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.

Table of contents

Front Matter
Pages i-xxxi

Computing with Formulas
Pages 1-49

Loops and Lists
Pages 51-89

Functions and Branching
Pages 91-147

User Input and Error Handling
Pages 149-225

Array Computing and Curve Plotting
Pages 227-332

Dictionaries and Strings
Pages 333-408

Introduction to Classes
Pages 409-487

Random Numbers and Simple Games
Pages 489-566

Object-Oriented Programming
Pages 567-643

Back Matter
Pages 645-922

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