Installation¶

SymPy can be installed on virtually any computer that supports Python.

From PyPi¶

The official recommend method of installing Python packages from PyPi is via pip, with the most basic command being:

pip install sympy

See the pip documentation for variations of this command suitable for your installation needs. Other tools that pull from PyPi like hatch, poetry, or uv can also be used.

From anaconda.org¶

SymPy is packaged for Conda based installers and available for download on anaconda.org. Install either Anaconda or Miniconda and the SymPy distributed with Anaconda can be installed with:

conda install sympy

SymPy is also packaged by Conda Forge and if Miniforge is used, then

conda install sympy

will install the Conda Forge version of SymPy (which is typically updated faster than the Anaconda distribution version). You can also install the Conda Forge version from Anaconda, Miniconda, or Miniforge with:

conda install --channel conda-forge sympy

Tools such as mamba and pixi can be used to install the SymPy conda package also.

From Linux Package Managers¶

Many Linux distrubtions package SymPy, for example on Debian based systems SymPy can be installed with apt:

apt install python-sympy

or on Fedora based systems, dnf can be used:

dnf install sympy

From nightly wheels¶

We publish a snapshot of the latest development version of SymPy every night as a pip compatible wheel. You can install the latest version with pip:

pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple sympy

or with other tools that install wheels.

From Git¶

If you wish to contribute to SymPy or like to get the latest updates as they come, install SymPy from git. To download the repository, execute the following from the command line:

git clone https://github.com/sympy/sympy.git

To update to the latest version, go into your repository and execute:

git pull origin master

If you want to install SymPy, but still want to use the git version, you can run from your repository:

python -m pip install --editable .

This will cause the installed version to always point to the version in the git directory.

Run SymPy¶

After installation, it is best to verify that your freshly-installed SymPy works. To do this, start up Python and import the SymPy libraries:

$ python
>>> from sympy import *

From here, execute some simple SymPy statements like the ones below:

>>> x = Symbol('x')
>>> limit(sin(x)/x, x, 0)
1
>>> integrate(1/x, x)
log(x)

For a starter guide on using SymPy effectively, refer to the Introductory Tutorial.

mpmath installation¶

Versions of SymPy prior to 1.0 included mpmath, but it now depends on it as an external dependency. If you installed SymPy with pip or conda, it will already include mpmath. You can manually install mpmath with:

pip install mpmath

conda install mpmath

to ensure that it is installed.

If you use mpmath via sympy.mpmath in your code, you will need to change this to use just mpmath. If you depend on code that does this that you cannot easily change, you can work around it by doing:

import sys
import mpmath
sys.modules['sympy.mpmath'] = mpmath

before the code that imports sympy.mpmath. It is recommended to change code that uses sympy.mpmath to use mpmath directly wherever possible.

Questions¶

If you have a question about installation or SymPy in general, feel free to mail our mailing list.

If you think there’s a bug or you would like to request a feature, please open an issue ticket.