Ubuntu
imexam package

imexam 0.9.1-4 source package in Ubuntu

Changelog

imexam (0.9.1-4) unstable; urgency=medium

  [ Bas Couwenberg ]
  * Team upload.
  * Add gbp.conf to use pristine-tar & --source-only-changes by default.
  * Add patch to fix test failure with Numpy 1.24.
  * Update lintian overrides.
  * Bump watch file version to 4.

 -- Ole Streicher <email address hidden>  Thu, 12 Jan 2023 08:01:08 +0100

Upload details

Uploaded by:
Debian Astronomy Maintainers
Uploaded to:
Sid
Original maintainer:
Debian Astronomy Maintainers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
imexam_0.9.1-4.dsc 2.3 KiB 0df5b3a3803e74a2ed1cb8be176b5a11522f87d8096b8d113df0c3f78116f1fa
imexam_0.9.1.orig.tar.gz 20.4 MiB a5b73604b693c003d10e41a77016e3fd16ec035519aa74de8508e6614aa72652
imexam_0.9.1-4.debian.tar.xz 6.8 KiB 0a70054389067e6040c9f53a38300f9b7a282e264dc7c397a5b2a7ce1ff6f5a0

Available diffs

No changes file available.

Binary packages built by this source

python-imexam-doc: Simple interactive astronomical image examination and plotting (Doc)

 Imexam is an affiliated package of AstroPy. It was designed to be a
 lightweight library which enables users to explore data using common
 methods which are consistent across viewers. It can be used from a
 command line interface, through a Jupyter notebook or through a
 Jupyter console. It can be used with multiple viewers, such as DS9 or
 Ginga, or without a viewer as a simple library to make plots and grab
 quick photometry information.
 .
 This package contains the API documentation.

python3-imexam: Simple interactive astronomical image examination and plotting

 Imexam is an affiliated package of AstroPy. It was designed to be a
 lightweight library which enables users to explore data using common
 methods which are consistent across viewers. It can be used from a
 command line interface, through a Jupyter notebook or through a
 Jupyter console. It can be used with multiple viewers, such as DS9 or
 Ginga, or without a viewer as a simple library to make plots and grab
 quick photometry information.