Call for maintainers: if you want this project to keep living and are ready to maintain it (pull requests management, issue resolution…), please contact me! I am ready to share my knowledge of the code logic by participating in discussions (notably around pull requests and issues).
This is the uncertainties Python package, which performs transparent
calculations with uncertainties (aka "error propagation"):
>>> from uncertainties import ufloat >>> from uncertainties.umath import * # sin(), etc. >>> x = ufloat(1, 0.1) # x = 1+/-0.1 >>> print 2*x 2.00+/-0.20 >>> sin(2*x) # In a Python shell, "print" is optional 0.9092974268256817+/-0.08322936730942848
This package also automatically calculates derivatives of arbitrary functions:
>>> (2*x+1000).derivatives[x] 2.0
The main documentation is available at https://uncertainties.readthedocs.io/.
The release branch is the latest stable release. It should pass the tests.
master* branches in the Github repository are bleeding-edge, and do not
necessarily pass the tests. The master branch is the latest, relatively
stable versions (while other master* branches are more experimental).
Other branches might be present in the GitHub repository, but they are typically temporary and represent work in progress that does not necessarily run properly yet.
This package and its documentation are released under the Revised BSD License.
If you find this open-source software useful (e.g. in saving you time or helping you produce something valuable), please consider donating $10 or more to help contribute to the maintenance of the package.