Integrating with trapz? about scientific_python_cheat_sheet HOT 5 CLOSED

quad is a scipy function, trapz is numpy. So far we didn't put any scipy functions to keep things simple. A few well-selected scipy functions would be nice on the other hand. The question is whether we should put them in a joint category with numpy or in a new one. I am personally for a mixed category that covers the most common scientific needs...

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The name is scientific Python and it is including stuff from matplotlib and even IPython so I would've expected scipy functions to make the cut! It would be nice If it were a good quick-reference for general-purpose, best-of-breed implementations. I appreciate that that may significantly increase the scope though.

The sections included interpolation/integration/fft are probably the most problematic as they overlap with scipy but have hidden pitfalls in that they're either significantly less functional or less performant (IIRC).

A mixed category would probably be a good resolution as it could provide the more fully-featured / performant implementations for those who don't mind a dependency on scipy.

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I agree fully! I'll try to rearrange the website to make some space for more sections without loss of clarity. Then we can open a mixed section...

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there is an (almost empty) scipy section now that can be filled. I think it would be nice if the user can select with some clicks which of the modules he wants to see in the overview. Also we should certainly not display the whole scipy library. The official documentation is way better for this. Only functions that are often used. Of course this depends on the user, but I am thinking about splines, optimization and stuff like this...

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we can later decide to make a mixed section. For now I think it is good to have them separate until we figure out, which scipy functions should be used when possible...

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