symcxx 0.1.1

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SymCXX is an experimental Python package for symbolic manipulation with limited scope (as in minimal). It tries to stay compatible with the API of SymPy. It’s main goal is to off a faster version of SymPy’s lambdify / SymEngine’s Lambdify

The capabilities include:

• Differentiation (including taking the jacobian of a matrix)

• Numerical evaluation

The above capabilities are exactly what is needed by pyodesys and pyneqsys.

Documentation

Currently users may refer to SymPy’s / SymEngine’s documentation.

Installation

Simplest way to install SymCXX and its (optional) dependencies is to use the conda package manager:

$ conda install -c bjodah symcxx pytest
$ python -m pytest --pyargs symcxx

or pip (requires a C++11 compliant compiler):

$ pip install --user symcxx pytest
$ python -m pytest --pyargs symcxx

There are no requirements outside the Python standard library.

Source distribution is available here: https://pypi.python.org/pypi/symcxx

Example

Differentiation

>>> from symcxx import NameSpace
>>> ns = NameSpace()
>>> x, y = map(ns.Symbol, 'x y'.split())
>>> expr = x*y**2 - ns.tan(2*x)
>>> print(expr.diff(x))
Sub(Pow(Symbol(y), Integer(2)), Mul2(Integer(2), Add2(Integer(1), Pow(Tan(Mul2(Integer(2), Symbol(x))), Integer(2)))))

Lambdify

>>> lmb = ns.Lambdify([x, y], expr)
>>> lmb([1.3, 0.2])
array([[ 0.65359661]])

License

The source code is Open Source and is released under the simplified 2-clause BSD license. See LICENSE for further details.

Contributors are welcome to suggest improvements at https://github.com/bjodah/symcxx

Author

Björn I. Dahlgren, contact:

• gmail address: bjodah

• kth.se address: bda