matalg27 0.0.9

Pure Python 2.7 Matrix Algebra Module.

Introduction

This module, written in Python2.7, is the backport of a similar module written in Python 3.2. There are many Python users who have not yet moved to Python 3.x and because generally Python 3.x is not fully backwards compatible with the earlier Python versions, it has been necessary to provide backports of Python 3.x modules to Python 2.x.

This module, written in pure Python 2.7, does not require other modules, only Python 2.x. Consequently the module is as portable as Python itself. The well documented module is easy to use and allows use of the usual scalar variable syntax for the more complex matrix operations. Thus, for matrix multiplication of matrices amat and bmat one can simply write:

resultmat = amat * bmat

For the inversion of amat, one only needs to write:

resultmat = ~ amat

Matrix naming convention is freely chosen by the end user. The module is well documented with pdf files quickStart, userManual and referenceMatalg. Reference can also be made to the documentation of the Python 3.2 module “Matalg”. In the backport attention was given to user use compatibility between the modules in Python 3.2 and Python 2.7.

Documentation and Servicing

Quick Start will get an experienced user up to speed very quickly. User Manual has an explanation and examples of most capabilities of the package, whilst the Reference of Matalg lists all the methods and functions of the module with brief explanation of each. In addition to the supplied pdf files, the information for the Python 3.2 module is also accessible on the web at:

http://akabaila.pcug.org.au/matalg-doc/index.html

The purpose of this early release is to attract possible comments, suggestions and bug fixes.The author is prepared to consider all reasonable requests for extensions and improvements and/or bug fixes of the module. Your emails will be appreciated:

[e-mail]

Licence

The module is licensed under LGPL and is Open Source Freeware. You are welcome to copy it and to share it.

Algis Kabaila, Canberra, 2011.