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,...

Description complète

Enregistré dans:
Détails bibliographiques
Auteur principal : Johansson Robert (Auteur)
Format : Livre
Langue : anglais
Titre complet : Numerical Python : a practical techniques approach for industry / Robert Johansson
Publié : [New York (N.Y.)] : Apress , C 2015
Description matérielle : 1 vol. (XXII-487 p.)
Sujets :
Python (langage de programmation)
Mathématiques > Informatique
Documents associés : Autre format: Numerical Python
  • 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.-