Installation¶

Requirements¶

Dependencies installed automatically: mpmath, sympy, rich, numpy. Optional: scipy (extended math domain), pint (physical units).

Install from PyPI using pip:

pip install symbolic-lang

Verify the installation:

symbolic --version

git clone https://github.com/elijahmanda/symbolic-lang.git
cd symbolic-lang
pip install -e .

The -e flag installs in editable mode, which is recommended for development.

poetry add symbolic-lang

conda install -c symbolic-lang symbolic

To enable the full mathematics standard library (Bessel functions, Fourier transforms, orthogonal polynomials, and optimization):

pip install symbolic-lang[math]

To enable physical unit support via pint:

pip install symbolic-lang[units]

To install all optional extras:

pip install symbolic-lang[all]

Start the interactive REPL to confirm everything is working:

symbolic

You should see the Symbolic prompt. Type a simple expression to test:

>>> 2 ^ 10
1024
>>> factorial(n) = n <= 1 ? 1 : n * factorial(n - 1)
>>> factorial(10)
3628800

Type %exit or press Ctrl+D to quit.

Command not found after installation: Ensure the Python bin (or Scripts on Windows) directory is on your PATH. Running python -m symbolic is an alternative that bypasses PATH issues.
Import errors on first run: Run pip install --upgrade symbolic-lang to ensure all sub-dependencies are up to date. If the problem persists, file an issue on GitHub with the full traceback.
mpmath precision warnings: Symbolic uses arbitrary-precision arithmetic by default. Precision warnings from mpmath during large computations are expected and can be suppressed by configuring the precision context explicitly.