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A Primer on Scientific Programming with Python

  • Hans PetterĀ Langtangen

Part of the Texts in Computational Science and Engineering book series (TCSE, volume 6)

Table of contents

  1. Front Matter
    Pages I-XXXII
  2. Hans Petter Langtangen
    Pages 1-48
  3. Hans Petter Langtangen
    Pages 49-86
  4. Hans Petter Langtangen
    Pages 87-135
  5. Hans Petter Langtangen
    Pages 137-186
  6. Hans Petter Langtangen
    Pages 187-256
  7. Hans Petter Langtangen
    Pages 257-339
  8. Hans Petter Langtangen
    Pages 341-412
  9. Hans Petter Langtangen
    Pages 413-481
  10. Hans Petter Langtangen
    Pages 483-556
  11. Back Matter
    Pages 557-798

About this book

Introduction

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.

 

Keywords

Monte Carlo simulation Python programming numerical calculus numerical methods object-oriented programming ordinary differential equations vectorization

Authors and affiliations

  • Hans PetterĀ Langtangen
    • 1
  1. 1.Simula Research LaboratoryLysakerNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-30293-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-30292-3
  • Online ISBN 978-3-642-30293-0
  • Series Print ISSN 1611-0994
  • Buy this book on publisher's site