python-cpl 0.7-4build1 source package in Ubuntu
Changelog
python-cpl (0.7-4build1) xenial; urgency=medium * No-change rebuild for python3 defaults change. -- Matthias Klose <email address hidden> Fri, 23 Oct 2015 19:38:33 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Xenial
- Original maintainer:
- Debian Astronomy Maintainers
- Architectures:
- any
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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python-cpl_0.7.orig.tar.gz | 58.5 KiB | 30d41a19f021a8392a579d09e78d6d92bc71713189dc4bef2d46be9980624fa8 |
python-cpl_0.7-4build1.debian.tar.xz | 4.5 KiB | 5d737f18796c813e812777a720608374f4c35d1bc2e5e34eac97a16cac44c8aa |
python-cpl_0.7-4build1.dsc | 2.2 KiB | 013c0a83e63e1ce40f497051f5d1c860564210dd8dafbe2cb09208245a6373af |
Available diffs
- diff from 0.7-4 (in Debian) to 0.7-4build1 (323 bytes)
Binary packages built by this source
- python-cpl: Control pipeline recipes from the European Southern Observatory
This module can list, configure and execute CPL-based recipes from Python3.
The input, calibration and output data can be specified as FITS files
or as pyfits objects in memory.
.
The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that
provide a comprehensive, efficient and robust software toolkit. It forms a
basis for the creation of automated astronomical data-reduction tasks.
.
One of the features provided by the CPL is the ability to create
data-reduction algorithms that run as plugins (dynamic libraries). These are
called "recipes" and are one of the main aspects of the CPL data-reduction
development environment.
- python3-cpl: Control pipeline recipes from the ESO (Python3)
This module can list, configure and execute CPL-based recipes from Python3.
The input, calibration and output data can be specified as FITS files
or as pyfits objects in memory.
.
The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that
provide a comprehensive, efficient and robust software toolkit. It forms a
basis for the creation of automated astronomical data-reduction tasks.
.
One of the features provided by the CPL is the ability to create
data-reduction algorithms that run as plugins (dynamic libraries). These are
called "recipes" and are one of the main aspects of the CPL data-reduction
development environment.