Numerical Python

Numerical Python: a practical techniques approach for industry

by Johansson, Robert

Type Book
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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, and how to apply these software tools in computational problem solving. After reading and using this book, you will have seen examples and case studies from many areas of computing, and gained familiarity with basic computing …

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Title Statements

  • Full title :Numerical Python : a practical techniques approach for industry / Robert Johansson ; technical reviewer, Stefan Turalski.

Summary

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, and how to apply these software tools in computational problem solving. After reading and using this book, you will have seen examples and case studies from many areas of computing, and gained familiarity with basic computing techniques such as array-based and symbolic computing, practical skills such as visualisation and numerical file I/O, computational methods such as equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. --

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Edition Statements

  • Publication Date:2015

Publication Statements

  • Publisher(s):Apress
  • Place of Publication:New York
  • Language:eng
  • Publication Date:2015

Notes

Titre de l'écran-titre (visionné le 2 mars 2016).

TRAITEMENT SOMMAIRE.

The Physical Object

  • Description:1 ressource en ligne.

Edition Identifiers

  • ISBN:9781484205532, 1484205537
  • oclc:ocn933275665
  • LC Classification:QA76.73.P98
  • Dewey Decimal:005.13/3

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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Subjects

COMPUTER PROGRAMMING Livres électroniques Programmation informatique Python (Computer program language) Python (Langage de programmation)

Writers

Johansson, Robert Turalski, Stefan

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