uncertainties 3.1.7-1.1 source package in Ubuntu
Changelog
uncertainties (3.1.7-1.1) unstable; urgency=medium * Non-maintainer upload: patch out extraneous python3-future. -- Alexandre Detiste <email address hidden> Fri, 15 Dec 2023 21:00:36 +0100
Upload details
- Uploaded by:
- Federico Ceratto
- Uploaded to:
- Sid
- Original maintainer:
- Federico Ceratto
- Architectures:
- all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
uncertainties_3.1.7-1.1.dsc | 2.3 KiB | d83f5210d99598e4e6609a276019cf5ce3fc3e8fc3d110e0195b0ba01ddf67b3 |
uncertainties_3.1.7.orig.tar.gz | 147.1 KiB | e3acf18300e1f2c598d98636394a02820301e2b799df9b0ffcf9c9335c7a67f3 |
uncertainties_3.1.7-1.1.debian.tar.xz | 6.1 KiB | 4cef8b3a3817e3873371ccaa6e6480c82231329fed5a4a32ea8b032934190907 |
Available diffs
- diff from 3.1.7-1 to 3.1.7-1.1 (716 bytes)
No changes file available.
Binary packages built by this source
- python-uncertainties-doc: Python3 module for calculations with uncertainties: documentation
uncertainties is a Python3 module, which allows calculations such as
.
(0.2 +/- 0.01) * 2 = 0.4 +/- 0.02
.
to be performed transparently; much more complex mathematical expressions
involving numbers with uncertainties can also be evaluated transparently.
.
Correlations between expressions are correctly taken into account; x-x is
thus exactly zero, for instance. The uncertainties produced by this module
are what is predicted by error propagation theory.
.
This package contains documentation for the python3-uncertainties package
- python3-uncertainties: Python3 module for calculations with uncertainties
uncertainties is a Python3 module, which allows calculations such as
.
(0.2 +/- 0.01) * 2 = 0.4 +/- 0.02
.
to be performed transparently; much more complex mathematical expressions
involving numbers with uncertainties can also be evaluated transparently.
.
Correlations between expressions are correctly taken into account; x-x is
thus exactly zero, for instance. The uncertainties produced by this module
are what is predicted by error propagation theory.