NumPy : beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library /

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This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and poi...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Idris, Ivan (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Birmingham, UK : Packt Publishing, 2015.
Édition:3rd edition.
Collection:Learn by doing : less theory, more results.
Sujets:
Python (Computer program language)
Numerical analysis > Data processing.
Python (Langage de programmation)
Analyse numérique > Informatique.
COMPUTERS > General.
Numerical analysis > Data processing
Accès en ligne:Texto completo
Texto completo
Table des matières:
  • Chapter 1: NumPy Quick Start
  • Chapter 2: Beginning with NumPy Fundamentals
  • Chapter 3: Getting Familiar with Commonly Used Functions
  • Chapter 4: Convenience Functions for Your Convenience
  • Chapter 5: Working with Matrices and ufuncs
  • Chapter 6: Moving Further with NumPy Modules
  • Chapter 7: Peeking Into Special Routines
  • Chapter 8: Assure Quality with Testing
  • Chapter 9: Plotting with matplotlib
  • Chapter 10: When NumPy is Not enough
  • SciPy and Beyond.

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