SymPyCore.jl

Documentation for SymPyCore.jl, a package allowing the use of Python's SymPy library from within a Julia session.

SymPy is Python library for symbolic mathematics.

As there are two means to call Python code from Julia, two packages have been developed to call into SymPy:

  • SymPy.jl is a Julia package using PyCall.jl to provide a "Julian" interface to SymPy.

  • SymPyPythonCall.jl is a Julia package using PythonCall.jl to provide a "Julian" interface to SymPy providing a nearly identical experience as SymPy.jl.

The SymPyCore package aims to unify the underlying code, leaving only a small amount of glue code in the primary packages. The most recent versions of the above use this backend.

While both glue packages provide a means to interact directly with the sympy library in Python, SymPyCore adds some conveniences, including many Julian idioms for easier use within Julia.

The SympyCore introduction page shows basic usages. The Julia translation of the SymPy Tutorial is more extensive.

Alternatives

Julia provides a few alternatives to SymPy for symbolic math. Two that are more performant though not as feature rich are:

  • Symbolics which is used within the SciML suite of packages.

  • SymEngine an interface to the underlying C++ symengine library