DewLoosh.Math - Numerical and Symbolic Methods in Python#

DewLoosh is a rapid prototyping platform focused on numerical calculations mainly corcerned with simulations of natural phenomena. It provides a set of common functionalities and interfaces with a number of state-of-the-art open source packages to combine their power seamlessly under a single development environment.

Features#

Numba-jitted classes and an extendible factory to define and manipulate

vectors and tensors.
Classes to define and solve linear and nonlinear optimization

problems.
A set of array routines for fast prorotyping, including random data creation

to assure well posedness, or other properties of test problems.

Requirements#

The implementations in this module are created on top of

NumPy, SciPy and Numba to speed up computationally sensitive parts,
SymPy for symbolic operations and some vector algebra,
the awkward library for its high performance data structures, gpu support

and general Numba compliance.