GitHub - JuliaPy/SymPy.jl: Julia interface to SymPy via PyCall (original) (raw)

SymPy

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.

Installation

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 Juliavia 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()