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Summary
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