1. Introduction
2. Launching Python
3. Integrated Development Environments
4. Strings, Lists, Arrays, and Dictionaries
5. Input and Output
6. Conditionals and Loops
7. Functions
8. Plotting
9. Numerical Routines: SciPy and NumPy
10. Python Classes: Encapsulation
11. Data Manipulation and Analysis: Pandas
12. Animation
13. Speeding up numerical calculations
Appendix A Maintaining your installation Python
Appendix B Glossary
Appendix C Python Resources
Index Index
Biography
David J. Pine has taught physics and chemical engineering for over 40 years at four different institutions: Cornell University (as a graduate student), Haverford College, UCSB, and NYU, where he is a Professor of Physics, Mathematics, and Chemical & Biomolecular Engineering. He has taught a broad spectrum of courses, including numerical methods. He does research on optical materials and in experimental soft-matter physics, which is concerned with materials such as polymers, emulsions, and colloids.
