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Series in Computational Physics
Steven A. Gottlieb and Rubin H. Landau, Series Editors
Introduction to Python for Science and Engineering
This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.
Readers will see why Python is such a widely appealing program, and learn the basics of syntax, data structures, input and output, plotting, conditionals and loops, user-defined functions, curve fitting, numerical routines, animation, and visualization. The author teaches by example and assumes no programming background for the reader.
David J. Pine is the Silver Professor and Professor of Physics at New York University, and Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He is an elected fellow of the American Physical Society and American Association for the Advancement of Science (AAAS), and is a Guggenheim Fellow.
Table of Contents
Chapter 1. Introduction.
Chapter 2. Launching Python
Chapter 3. Strings, Lists, Arrays, and Dictionaries
Chapter 4. Input and Output
Chapter 5. Conditionals and Loops
Chapter 6. Plotting
Chapter 7. Functions
Chapter 8. Curve Fitting
Chapter 9. Numerical Routines: SciPy and NumPy
Chapter 10. Data Manipulation and Analysis: Pandas
Chapter 11. Animation
Chapter 12. Python Classes & GUIs
Appendix A. Installing Python
Appendix B. Jupyter notebooks
Appendix C. Glossary
Appendix D. Python Resources