Numerical Python : A Practical Techniques Approach for Industry

Numerical Python A Practical Techniques Approach for Industry

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,...

Descripción completa

Detalles Bibliográficos
Autor principal: Johansson, Robert. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2015.
Edición:1st ed. 2015.
Colección:Expert's voice in Python.
Materias:
Python (Computer program language).
Compilers (Computer programs).
Computer software.
Python.
Compilers and Interpreters.
Mathematical Software.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629822306719
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.-.

Ejemplares similares