uncertainties 3.1.7-2 source package in Ubuntu
Changelog
uncertainties (3.1.7-2) unstable; urgency=medium * Team upload. [ Federico Ceratto ] * Set Debian Python Modules Team as maintainer [ Andreas Tille ] * Move git repository to DPT * Update maintainer email for merge of DPMT and PAPT. * Remove sphinx doc from debian/html Closes: #1046237 -- Andreas Tille <email address hidden> Wed, 14 Feb 2024 15:30:02 +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 | |
---|---|---|---|---|
Noble | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
uncertainties_3.1.7-2.dsc | 2.3 KiB | fa5a60bf8c48680dbb3cfa989e7f29ab573062b613e2a9cb11b1c0a142da7873 |
uncertainties_3.1.7.orig.tar.gz | 147.1 KiB | e3acf18300e1f2c598d98636394a02820301e2b799df9b0ffcf9c9335c7a67f3 |
uncertainties_3.1.7-2.debian.tar.xz | 6.2 KiB | 83010629b13622f49bfcdf6e0acc6ff34559c06ff0b2b5477c9c8582b4430bf7 |
Available diffs
- diff from 3.1.7-1.1 to 3.1.7-2 (908 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.