This tutorial explores scikit-image, the numpy-native library in the scientific python ecosystem, for visual data analysis and manipulation.
Designed for beginners and advanced users, it empowers image analysis skills and offers insights into scikit-image documentation.

It covers basic concepts like image histogram, contrast, filtering, segmentation, and descriptors through practical exercises.
The tutorial concludes with advanced performance optimization techniques.

Familiarity with numpy arrays is essential as it the underlying data representation.