Welcome to SymNum’s documentation!

SymNum is a Python package that acts a bridge between NumPy and SymPy, 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.

Contents:

• symnum package
  • grad()
  • gradient()
  • hessian()
  • hessian_vector_product()
  • jacobian()
  • jacobian_vector_product()
  • matrix_hessian_product()
  • matrix_tressian_product()
  • named_array()
  • numpify()
  • numpify_func()
  • vector_jacobian_product()
  • Subpackages
    • symnum.diffops package
  • Submodules
    • symnum.array module
    • symnum.codegen module
    • symnum.numpy module