Introduction to Python for Science and Engineering offers an incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical, which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed.
Introduction to Python for Science and Engineering offers an incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical, which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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