Post Description
Do high performance calculations with clean and efficient NumPy code
Analyze large sets of data with statistical functions
Execute complex linear algebra and mathematical computations
What you will learn from this book
Learn advanced Indexing and linear algebra
Know reshaping automatically
Dive into Broadcasting and Histograms
Profile NumPy code and visualize your profiling results
Speed up your code with Cython
Use the array interface to expose foreign memory to NumPy
Use universal functions and interoperability features
Learn about Matplotlib and Scipy which is often used in conjunction with Numpy
Language : English
Paperback : 226 pages [ 235mm x 191mm ]
Release Date : October 2012
ISBN : 1849518920
ISBN 13 : 9781849518925
Author(s) : Ivan Idris
gepost door : Rockhound57
Comments # 0