NumPy Cookbook
- 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
Details | |
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Herausgeber | Packt Publishing |
Autor(en) | Ivan Idris |
ISBN | 978-1-84951-892-5 |
veröffentlicht | 2012 |
Seiten | 226 |
Sprache | English |