Python for Scientists (Paperback, 2 Revised 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.