Books  Data Analysis & Modelling  Computing for the Natural Sciences 

Python for Scientists

Handbook / Manual
Demonstrates how Python can reproduce and even transcend the capabilities of other software packages
Assumes no previous knowledge of any particular programming language
Includes detailed instructions on how to install a Python environment

By: John M Stewart (Author)

230 pages, 36 b/w illustrations

Cambridge University Press

Paperback | Jul 2014 | #223875 | ISBN-13: 9781107686427
Availability: Usually dispatched within 6 days Details
NHBS Price: £27.95 $34/€31 approx
Hardback | Jul 2014 | #223874 | ISBN-13: 9781107061392
Availability: Usually dispatched within 6 days Details
NHBS Price: £64.99 $80/€73 approx

About this book

Python is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB and Mathematica. Python for Scientists covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program's capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises Python for Scientists contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible.



1. Introduction
2. Getting started with IPython
3. A short Python tutorial
4. Numpy
5. Two-dimensional graphics
6. Three-dimensional graphics
7. Ordinary differential equations
8. Partial differential equations: a pseudospectral approach
9. Case study: multigrid

Appendix A. Installing a Python environment
Appendix B. Fortran77 subroutines for pseudospectral methods

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John M. Stewart is Emeritus Reader in Gravitational Physics at the University of Cambridge, and a Life Fellow at King's College, Cambridge.

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