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NumPy Cookbook.pdf (Size: 5.49 MB)
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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 Related Torrents
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