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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Johansson, Robert (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berkeley, CA : Apress : Imprint: Apress, 2015.
Edition:1st ed. 2015.
Subjects:
Python (Computer program language).
Compilers (Computer programs).
Computer software.
Python.
Compilers and Interpreters.
Mathematical Software.
Online Access:Texto Completo
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.-.

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