https://github.com/juliapy/sympy.jl

Julia interface to SymPy via PyCall
https://github.com/juliapy/sympy.jl

Last synced: about 1 month ago
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Julia interface to SymPy via PyCall

• Host: GitHub
• URL: https://github.com/juliapy/sympy.jl
• Owner: JuliaPy
• License: mit
• Created: 2013-04-23T20:09:42.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2024-08-03T20:37:31.000Z (5 months ago)
• Last Synced: 2024-08-04T20:06:08.835Z (5 months ago)
• Language: Julia
• Homepage: http://juliapy.github.io/SymPy.jl/
• Size: 4.13 MB
• Stars: 266
• Watchers: 12
• Forks: 62
• Open Issues: 38
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# SymPy

[![Docs](https://img.shields.io/badge/docs-dev-blue.svg)](https://jverzani.github.io/SymPyCore.jl/dev)

[![Build Status](https://github.com/jverzani/SymPy.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/jverzani/SymPy.jl/actions/workflows/CI.yml?query=branch%3Amain)

[![Coverage](https://codecov.io/gh/jverzani/SymPy.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/jverzani/SymPy.jl)

[SymPyCore](https://github.com/jverzani/SymPyCore.jl) provides a `Julia`n interface to the [SymPy](https://www.sympy.org/) 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](https://github.com/jverzani/SymPyPythonCall.jl) 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 `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()

```