Numerical Python A Practical Techniques Approach for Industry /

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Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical capabilities in Python, its standard library, and the extensive ecosystem of computationally oriented Python libraries, including popular packages such as NumPy, SciPy, SymPy, Matplotlib, Pandas, and more,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Johansson, Robert (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress : Imprint: Apress, 2015.
Edición:1st ed. 2015.
Temas:
Python (Computer program language).
Compilers (Computer programs).
Computer software.
Python.
Compilers and Interpreters.
Mathematical Software.
Acceso en línea:Texto Completo
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.-.

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