Symbolically construct NumPy functions and their derivatives
Project description
SymNum is a Python package that acts a bridge between NumPy and SciPy,providing a NumPy-like interface that can be used to symbolically define functions which take arrays as arguments and return arrays or scalars as values. A series of Autograd style functional differential operators are also provided to construct derivatives of symbolic functions, with the option to generate NumPy code to numerically evaluate these derivative functions.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
symnum-0.1.0.tar.gz
(14.3 kB
view hashes)
Built Distribution
symnum-0.1.0-py3-none-any.whl
(14.0 kB
view hashes)
