An action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples.
The first and only book that truly explores NumPy practically. Perform high performance calculations with clean and efficient NumPy code. Analyze large data sets with statistical functions. Execute complex linear algebra and mathematical computations.
Book year: 2011
Book pages: 234
Book language: en
File size: 5.49 MB
File type: pdf
Published: 12 April 2019 - 15:10