Ubuntu
imexam package

imexam 0.9.1-2 source package in Ubuntu

Changelog

imexam (0.9.1-2) unstable; urgency=medium

  [ Debian Janitor ]
  * Set upstream metadata fields: Bug-Submit, Repository, Repository-Browse.
  * Remove obsolete field Name from debian/upstream/metadata (already
    present in machine-readable debian/copyright).

  [ Ole Streicher ]
  * Fix failing test (Closes: #997501)
  * Push dh-compat to 13
  * Push Standards-Version to 4.6.0. No changes needed.
  * Don't use doctest extension in sphinx

 -- Ole Streicher <email address hidden>  Mon, 25 Oct 2021 08:21:58 +0200

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
Kinetic release universe misc
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
imexam_0.9.1-2.dsc 2.3 KiB 2e4528364040ea73860d6c51a8147d8b592c75dadd72c5dde205b502e5dc9d06
imexam_0.9.1.orig.tar.gz 20.4 MiB a5b73604b693c003d10e41a77016e3fd16ec035519aa74de8508e6614aa72652
imexam_0.9.1-2.debian.tar.xz 5.5 KiB 185dad905de64a81236a7c5411bad7f45b53725e50add9a2a888543ac8438076

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.