uncertainties 3.2.2-1 source package in Ubuntu
Changelog
uncertainties (3.2.2-1) unstable; urgency=medium * Team upload. * New upstream release. -- Colin Watson <email address hidden> Wed, 10 Jul 2024 15:14:38 +0100
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| uncertainties_3.2.2-1.dsc | 2.5 KiB | 72824b5308c2ca71dbe0fca3bd0980c12cbbd313533cfede03dfb03d7c06eacc |
| uncertainties_3.2.2.orig.tar.gz | 136.4 KiB | 84217c30fb67b436851698b6e1a3245e61414293cbc90d25e1841da418c57dd3 |
| uncertainties_3.2.2-1.debian.tar.xz | 6.1 KiB | 88b06d74d4dc6ff6ccbc70ba323027447d256ff810b2eadfc702bfb7aca85aaa |
Available diffs
- diff from 3.2.1-1 to 3.2.2-1 (2.1 KiB)
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.
