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Doing the full numpy and matplotlib chapters may be overkill for someone who wants to get a quick understanding of the basic before looking at a chapter like sympy, statistics, or scikit-learn.
The way I tackle this is usually with a super brief introduction to the basic: https://github.com/GaelVaroquaux/sklearn_ensae_course/blob/master/rendered_notebooks/01_data_manipulation.ipynb
I suggest to add the above notebook as a last section to the introduction chapter (the first one), skipping the scipy sparse stuff, and the 3D plotting part.
The various application-specific chapters, such as the sympy, statistics, or scikit-learn could than refer to this section, for people who google and land directly on them.