Learn to master basic programming tasks from scratch with real-life scientific examples in this complete introduction to Python.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Christian Hill is a physicist and physical chemist at University College London and the University of Oxford. He has over twenty years' experience of programming in the physical sciences and has been programming in Python for ten years. His research uses Python to produce, analyse, process, curate and visualise large data sets for the prediction of the properties of planetary atmospheres.
Inhaltsangabe
1. Introduction 2. The core Python language I 3. Interlude: simple plotting with pylab 4. The core Python language II 5. IPython and IPython notebook 6. NumPy 7. Matplotlib 8. SciPy 9. General scientific programming Appendix A. Solutions Index.
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.
1. Introduction 2. The core Python language I 3. Interlude: simple plotting with pylab 4. The core Python language II 5. IPython and IPython notebook 6. NumPy 7. Matplotlib 8. SciPy 9. General scientific programming Appendix A. Solutions Index.
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.
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