Learning Scientific Programming with Python
(Sprache: Englisch)
This fast-paced introduction to Python moves from the basics to advanced concepts, enabling readers to gain proficiency quickly.
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Produktinformationen zu „Learning Scientific Programming with Python “
This fast-paced introduction to Python moves from the basics to advanced concepts, enabling readers to gain proficiency quickly.
Klappentext zu „Learning Scientific Programming with Python “
Learn to master basic Python programming tasks from scratch with real-life, scientifically-relevant examples and solutions drawn from science and engineering. This fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly.
Inhaltsverzeichnis zu „Learning Scientific Programming with Python “
Acknowledgments; 1. Introduction; 2. The core Python language I; 3. Interlude: simple plots and charts; 4. The core Python language II; 5. IPython and Jupyter Notebook; 6. NumPy; 7. Matplotlib; 8. SciPy; 9. Data analysis with pandas; 10. General scientific programming; Appendix A. Solutions; Appendix B. Differences between Python versions 2 and 3; Appendix C. SciPy's odeint ordinary differential equation solver; Glossary; Index.
Autoren-Porträt von Christian Hill
Christian Hill is a physicist and physical chemist currently working at the International Atomic Energy Agency. He has over 25 years' experience of programming in the physical sciences and has been programming in Python for 15 years. His research uses Python to produce, analyze, process, curate and visualize large data sets in the area of spectroscopy and plasma physics and material science.
Bibliographische Angaben
- Autor: Christian Hill
- 2020, 2nd edition, 568 Seiten, Masse: 17 x 24,4 cm, Kartoniert (TB), Englisch
- Verlag: Cambridge University Press
- ISBN-10: 1108745911
- ISBN-13: 9781108745918
- Erscheinungsdatum: 03.02.2021
Sprache:
Englisch
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