Compiled August 21, 2010
upy is a package for calculating error propagation in the programming language Python. It is intended to make calculations with measurement uncertainties easy but correct. For the needed derivative information, automatic differentiation (AD) is used. (AD is also known under the name algorithmic differentiation.)
upy is based on numpy, and can be used to store multidimensional arrays with uncertainty. For details, see The upy uncertain ndarray: class undarray.
There is also a upy Webcast.
See also: Search Page
For download of upy, please go to http://github.com/friedrichromstedt/upy/downloads. Notice that the documentation is in this case beyond the released state of the project, i.e., not all features documented are in a tagged version, or even committed to the repo.
To get the bleeding-edge version of upy, use:
git clone git://github.com/friedrichromstedt/upy.git
and assorted commands of git.
For support, email to mailto:friedrichromstedt@gmail.com
To join the mailing list, visit https://lists.sourceforge.net/lists/listinfo/upy-discussion
To see the project’s sourceforge site, go to http:///sourceforge.net/projects/upy.