Book contents
- Frontmatter
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1 Introduction
- 2 Getting Started with IPython
- 3 A Short Python Tutorial
- 4 NumPy
- 5 Two-Dimensional Graphics
- 6 Multi-Dimensional Graphics
- 7 SymPy: A Computer Algebra System
- 8 Ordinary Differential Equations
- 9 Partial Differential Equations: A Pseudospectral Approach
- 10 Case Study: Multigrid
- Appendix A Installing a Python Environment
- Appendix B Fortran77 Subroutines for Pseudospectral Methods
- References
- Hints for Using the Index
- Index
Index
Published online by Cambridge University Press: 02 August 2017
- Frontmatter
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1 Introduction
- 2 Getting Started with IPython
- 3 A Short Python Tutorial
- 4 NumPy
- 5 Two-Dimensional Graphics
- 6 Multi-Dimensional Graphics
- 7 SymPy: A Computer Algebra System
- 8 Ordinary Differential Equations
- 9 Partial Differential Equations: A Pseudospectral Approach
- 10 Case Study: Multigrid
- Appendix A Installing a Python Environment
- Appendix B Fortran77 Subroutines for Pseudospectral Methods
- References
- Hints for Using the Index
- Index
Summary
![Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Abook%3A9781108120241/resource/name/firstPage-9781108120241ind2_p253-257_CBO.jpg)
- Type
- Chapter
- Information
- Python for Scientists , pp. 253 - 257Publisher: Cambridge University PressPrint publication year: 2017