Numerical Python : A Practical Techniques Approach for Industry /
| Autor principal: | |
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| Autor Corporativo: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berkeley, CA :
Apress : Imprint: Apress,
2015.
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| Edición: | 1st ed. 2015. |
| Materias: |
Tabla de Contenidos:
- 1. Introduction to computing with Python
- 2. Vectors, matrices and multidimensional arrays
- 3. Symbolic computing
- 4. Plotting and visualization
- 5. Equation solving
- 6. Optimization
- 7. Interpolation
- 8. Integration
- 9. Ordinary differential equations
- 10. Sparse matrices and graphs
- 11. Partial differential equations
- 12. Data processing and analysis
- 13. Statistics
- 14. Statistical modeling
- 15. Machine learning
- 16. Bayesian statistics
- 17. Signal and image processing
- 18. Data input and output
- 19. Code optimization
- 20. Appendix: Installation.-.