Welcome to upy’s documentation!

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.

Usage Instructions

  • Go directly to Reference Manual to see an annotated table of contents of the reference manual.
  • upy Tutorial is intended as a starting point for beginners and is not fully fledged yet.

See also: Search Page

Table Of Contents

Next topic

upy Tutorial

This Page