Numerical Python: Linear and Quadratic Approximations

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This video covers how to compute a linear or quadratic approximation to a given function *numerically* in Python: that is, when we just have a function as an input and we need to approximate the function (locally). This will be useful for doing numerical optimization later.
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Finally understood deriviations because of this lmao. Thanks Anders!

jokmenen_
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Hi thanks for the video. I am wondering if you could offer a more rigorous explanation for why one needs to include h_outer & h_inner for the 2nd derivative? I understand linear and quadratic approximations quite well, but i am having trouble translating my knowledge to python

maxinavarrette