How to Install and Uninstall python3-cpl Package on Kali Linux
Last updated: November 07,2024
1. Install "python3-cpl" package
Learn how to install python3-cpl on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-cpl
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2. Uninstall "python3-cpl" package
Learn how to uninstall python3-cpl on Kali Linux:
$
sudo apt remove
python3-cpl
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-cpl package on Kali Linux
Package: python3-cpl
Source: python-cpl (0.7.4-2)
Version: 0.7.4-2+b9
Installed-Size: 174
Maintainer: Debian Astronomy Maintainers
Architecture: amd64
Depends: python3-astropy, python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.34)
Suggests: gdb
Size: 35740
SHA256: 44cf9f9ea36f84bd8122e20feefb019c47e249a5c144f3c10af814cc0e4862dd
SHA1: 37cec175bf7960ed38e18e08c99bba93158c431e
MD5sum: ba5328f6e32dfefcf59b9b2e243a2e66
Description: 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 astropy fits 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.
Description-md5:
Homepage: https://pypi.org/project/python-cpl/
Section: python
Priority: optional
Filename: pool/main/p/python-cpl/python3-cpl_0.7.4-2+b9_amd64.deb
Source: python-cpl (0.7.4-2)
Version: 0.7.4-2+b9
Installed-Size: 174
Maintainer: Debian Astronomy Maintainers
Architecture: amd64
Depends: python3-astropy, python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.34)
Suggests: gdb
Size: 35740
SHA256: 44cf9f9ea36f84bd8122e20feefb019c47e249a5c144f3c10af814cc0e4862dd
SHA1: 37cec175bf7960ed38e18e08c99bba93158c431e
MD5sum: ba5328f6e32dfefcf59b9b2e243a2e66
Description: 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 astropy fits 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.
Description-md5:
Homepage: https://pypi.org/project/python-cpl/
Section: python
Priority: optional
Filename: pool/main/p/python-cpl/python3-cpl_0.7.4-2+b9_amd64.deb