GitHub - quantumelixir/deriv: Derivatives for numpy arrays

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README		README
deriv.py		deriv.py
mathfuncs.py		mathfuncs.py
utilities.py		utilities.py

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Automatic Differentiation for numpy arrays

Demo (depends on python-sympy)
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[19:21][deriv]$ python deriv.py 
Computing using AD:
Deriv([-1.59804046-0.09325923j  0.73088813+1.6490593j  -4.71163273-3.87130809j], Type=complex64)

Computing using sympy:
-1.59804032923798 - 0.0932591552845371*I
0.730887708625599 + 1.64905924188799*I
-4.71163159380204 - 3.87130780710239*I