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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.
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.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | EDV |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Thema: | Lexika |
| Medium: | Taschenbuch |
| ISBN-13: | 9781032673905 |
| ISBN-10: | 1032673907 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Pine, David J. |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 233 x 158 x 26 mm |
| Von/Mit: | David J. Pine |
| Erscheinungsdatum: | 23.09.2024 |
| Gewicht: | 0,684 kg |
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.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | EDV |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Thema: | Lexika |
| Medium: | Taschenbuch |
| ISBN-13: | 9781032673905 |
| ISBN-10: | 1032673907 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Pine, David J. |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 233 x 158 x 26 mm |
| Von/Mit: | David J. Pine |
| Erscheinungsdatum: | 23.09.2024 |
| Gewicht: | 0,684 kg |
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