symbolite: a minimalistic symbolic python package

Symbolite allows you to create symbolic mathematical expressions. Just create a symbol (or more) and operate with them as you will normally do in Python.

>>> from symbolite.symbol.abstract import Symbol
>>> x = Symbol("x")
>>> y = Symbol("y")
>>> expr1 = x + 3 * y
>>> print(expr1)
(x + (3 * y))

You can easily replace the symbols by the desired value.

>>> expr2 = expr1.subs_by_name(x=5, y=2)
>>> print(expr2)
(5 + (3 * 2))

The output is still a symbolic expression, which you can evaluate:

>>> expr2.eval()
11

Notice that we also got a warning (No libsymbol provided, defaulting to 'math'). This is because evaluating an expression requires a actual library implementation, name usually as libsl. The default one just uses python's math module.

You can avoid this warning by explicitely providing an libsl implementation.

>>> from symbolite.symbol import default
>>> expr2.eval(libsymbol=default)
11

You can also import it with the right name and it will be found

>>> from symbolite.symbol import default as libsymbol
>>> expr2.eval()
11

I guess you want to do some math now, right? 70 math functions are defined can be used through symbolite-scalar with implementations using the Python math module, numpy and scipy. Check it out!

Installing:

pip install -U symbolite

FAQ

Q: Is symbolite a replacement for SymPy?

A: No

Q: Does it aim to be a replacement for SymPy in the future?

A: No