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- 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


Publisher: Packt Publishing
Author: Ivan Idris
ISBN: 978-1-8495-1892-5
Year: 2012
Pages: 226
Language: English
File size: 5.8 MB
File format: PDF
Buy: NumPy Cookbook

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