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NumPy Essentials
book

NumPy Essentials

by Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway
April 2016
Beginner content levelBeginner
156 pages
3h 23m
English
Packt Publishing
Content preview from NumPy Essentials

Summary

In this chapter, we covered the usage of one and multi-dimensional Fourier transformations and how they are applied in signal processing. You now understand the implementation of the discrete Fourier transform in NumPy, and we did a performance comparison between our manual implemented script with NumPy built-in modules.

We also accomplished a real-world application of image interpolation, and we got a plus one for knowing some basics of the matplotlib packages.

In the next chapter, we will see how to distribute our code using the numpy.distutils() submodules.

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Publisher Resources

ISBN: 9781784393670Supplemental Content