duecredit 0.4.4.1-1 source package in Ubuntu

Changelog

duecredit (0.4.4.1-1) unstable; urgency=low

  * Autogenerated by py2dsp v1.20151008
  * Initial packaging (Closes: #804395)

 -- Yaroslav Halchenko <email address hidden>  Sun, 08 Nov 2015 05:42:50 +0000

Upload details

Uploaded by:
Yaroslav Halchenko
Uploaded to:
Sid
Original maintainer:
Yaroslav Halchenko
Architectures:
all
Section:
misc
Urgency:
Low Urgency

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Series Pocket Published Component Section

Builds

Xenial: [FULLYBUILT] amd64

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File Size SHA-256 Checksum
duecredit_0.4.4.1-1.dsc 2.0 KiB c6e8dbe98140987845fa119a251412d6efd716ea474c0e4849690ad4893c5f3b
duecredit_0.4.4.1.orig.tar.gz 49.4 KiB e5d7891dd149b8132b78b484b1672dba8f25222bd856165924f92e94d83ae276
duecredit_0.4.4.1-1.debian.tar.xz 3.7 KiB fbde95daefc69bbd9d7e791c52b8d3782ff60caa478663d4bf3af962df255810

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Binary packages built by this source

python-duecredit: Publications (and donations) tracer - Python 2.X

 duecredit is being conceived to address the problem of inadequate
 citation of scientific software and methods, and limited visibility of
 donation requests for open-source software.
 .
 It provides a simple framework (at the moment for Python only) to
 embed publication or other references in the original code so they are
 automatically collected and reported to the user at the necessary
 level of reference detail, i.e. only references for actually used
 functionality will be presented back if software provides multiple
 citeable implementations.
 .
 To get a sense of what duecredit is about, simply run
 or your analysis script with `-m duecredit`, e.g.
 .
     python -m duecredit examples/example_scipy.py

python3-duecredit: Publications (and donations) tracer

 duecredit is being conceived to address the problem of inadequate
 citation of scientific software and methods, and limited visibility of
 donation requests for open-source software.
 .
 It provides a simple framework (at the moment for Python only) to
 embed publication or other references in the original code so they are
 automatically collected and reported to the user at the necessary
 level of reference detail, i.e. only references for actually used
 functionality will be presented back if software provides multiple
 citeable implementations.
 .
 To get a sense of what duecredit is about, simply run
 or your analysis script with `-m duecredit`, e.g.
 .
     python3 -m duecredit examples/example_scipy.py