Numerical Python : a practical techniques approach for industry /

Show other versions (1)

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,...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Johansson, Robert (Author)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Apress, 2015.
Series:Expert's voice in Python.
Subjects:
Python (Computer program language)
Computer programming.
Python (Langage de programmation)
Programmation (Informatique)
computer programming.
Programming & scripting languages: general.
Mathematical & statistical software.
COMPUTERS > Programming Languages > Python.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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.-

Similar Items