This guide offers a rapid introduction to Python programming to anyone with no experience in programming, taking a careful and methodical approach to presenting the features available and their use for performing practical scientific and engineering tasks.
This guide offers a rapid introduction to Python programming to anyone with no experience in programming, taking a careful and methodical approach to presenting the features available and their use for performing practical scientific and engineering tasks.
David J. Pine is the Silver Professor and Professor of Physics at New York University, as well as Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He earned his PhD in physics from Cornell University and has been invited professor at ESPCI in Paris, France, and the University of Strasbourg. He has also served as a visiting scientist at Exxon Research and Engineering. He is recipient of numerous honors, including Fellow of the American Association for the Advancement of Science, Guggenheim Fellow, and Fellow of the American Physical Society.
Inhaltsangabe
1. Introduction. 2. Launching Python. 3. Strings, Lists, Arrays, and Dictionaries. 4. Input and Output. 5. Conditionals and Loops. 6. Plotting 7. Functions. 8. Curve Fitting. 9. Numerical Routines: SciPy and NumPy. 10. Data Manipulation and Analysis: Pandas. 11. Animation. 12. Python Classes & GUIs Appendix A. Installing Python. Appendix B. Jupyter notebooks. Appendix C. Glossary Appendix D. Python Resources.
