TY  - BOOK
AU  - Stewart,John
TI  - Python for scientists
SN  - 9781107447875 (ebook)
AV  - Q183.9 .S865 2014
U1  - 005.13/3 23
PY  - 2014///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Science
KW  - Data processing
KW  - Python (Computer program language)
N1  - Title from publisher's bibliographic system (viewed on 05 Oct 2015); Machine generated contents note: Preface; 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; 10. Appendix A. Installing a Python environment; Appendix B. Fortran77 subroutines for pseudospectral methods; References; Index
N2  - Python is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB and Mathematica. This book 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 the book 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
UR  - https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781107447875
ER  -