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These operations are of course much faster than if you did them in pure python:
2.6. Image manipulation and processing using Numpy and Scipy¶ Authors: Emmanuelle Gouillart, Gaël Varoquaux This section addresses basic image manipulation and processing using the core scientific modules NumPy and SciPy. Some of the operations covered by this tutorial may be useful for other kinds of multidimensional array processing than image processing. In particular, the submodule scipy.ndima
One document to learn numerics, science, and data with Python¶ Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. Release: 2022.1
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