SymPyCore provides a Julian interface to the SymPy library of Python.
SymPy utilizes SymPyCore and the PyCall package (to provide the interop between Julia and Python) to enable access to Python's SymPy library using the practices and idioms of Julia.
The package SymPyPythonCall does a similar thing with the PythonCall package providing the interop.
To use this package, both Python and its SymPy library must be
installed on your system. If PyCall is installed using Conda
(which is the default if no system python is found), then the
underlying SymPy library will be installed via Conda when the
package is first loaded.
If there are issues, you might try installing PyCall first, along the lines of :
julia> using Pkg
julia> ENV["PYTHON"]=""
julia> Pkg.build("PyCall")
julia> Pkg.add("SymPy")
julia> using SymPy
Otherwise, installing both Python and the
SymPy library can be done by other means.
In this case, the Anaconda distribution is suggested, as it provides a single
installation of Python that includes SymPy and many other
scientific libraries that can be profitably accessed within Julia
via PyCall. (Otherwise, install Python then download the SymPy
library from https://github.com/sympy/sympy/releases and install.)
To upgrade the underlying sympy library, which has new releases at a
rate similar to Julia, when installed with Conda, the following commands
are available:
using Pkg
Pkg.add("Conda") # if needed
using Conda
Conda.update()