#-- coding: UTF-8 --
πMath is a math package to implement linear algebra methods and algorithms. It provides vector and matrices based on abstract classes to aid the implementation, research and debugging of numerical analysis algorithms.
- Pure python:
- The methods implemented using πMath should work without any dependency to external libraries or packages.
- Dense and Sparse:
- Dense and sparse matrices are natively and transparently supported
- Transparent Multi-processing:
- The package should detect and use the availability of multiple cores (where and when it is safe to do so).
- Wrap external libraries:
- Alternative backends can be registered using wrapper classes in order to utilize their speed and accuracy (e.g. numpy or mpmath). In a similar manner a wrapper should be provided that would allow manipulation of matrices mapped into files (e.g. through pytables).
- Debugging and Testing:
- The library should provide classes with embedded logging and debugging capabilities to test, validate and benchmark code.
python setup.py test python setup.py install
Maintainer: Ioannis Tziakos
Functions to compare floats
- Floating point comparison function Code was addapted from the Stack.Overflow question 3049101 File: other/floatcmp.py License: cc- wiki Author: Eric L. Frederich
- Blas sum_of_squares function The implementaton is based on the fortan function DLASSQ (SRC/dlassq.f) from the LAPACK library. File: other/lapacksumsq.py (Check file for original code license)
- Accurate summation Code was addapted from the ActiveState recipe 393090 File: other/summation.py License: PSF Author: Raymond Hettinger
- Text progress bar object Code was addapted from the ActiveState recipe 168639 License: PSF File: other/progressbar.py Authors: Randy Pargman (original), Kelvie Wong (1 revision)