python-tablib 3.3.0-1 source package in Ubuntu

Changelog

python-tablib (3.3.0-1) unstable; urgency=medium

  * [17e2fcf] New upstream version 3.3.0
  * [32c201c] Rebuild patch queue from patch-queue branch
    Added patch:
    docs-Use-local-Python-intersphinx-inventary.patch
    Removed patch:
    Don-t-use-intersphinx-while-build-of-documentation.patch
  * [d43ee25] d/control: Update build deps, add BuildProfileSpecs
  * [6e3497f] d/control: Update Standards-Version to 4.6.1
    No further changes needed.
  * [a82c501] d/rules: Set up and use variable $(SPHINXOPTS)
  * [1bfd0e2] Lintian: Drop not needed any more override file
  * [1192895] d/copyright: Update year data

 -- Carsten Schoenert <email address hidden>  Thu, 15 Dec 2022 20:06:56 +0100

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe python

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-tablib_3.3.0-1.dsc 2.5 KiB 258ac2abb545247f891b4de8e7c58a6e211e55f07547dcd684d1a3b0f35fcf9c
python-tablib_3.3.0.orig.tar.gz 87.2 KiB 5853e7f0a5a818ba1ec1199378c399f3d5a6b61ad2a666c042e5f4f86527e81e
python-tablib_3.3.0-1.debian.tar.xz 6.5 KiB 5d591c52eef44a146e5ae16c5e7ef8301fd3130828016ddb568bedef32e8aeb7

Available diffs

No changes file available.

Binary packages built by this source

python-tablib-doc: format agnostic tabular dataset library (Documentation)

 Tablib is a format agnostic tabular dataset library, written in Python. It
 allows you to import, export, and manipulate tabular data sets. Advanced
 features include, segregation, dynamic columns, tags & filtering, and seamless
 format import & export.
 .
 This package provides the documentation.

python3-tablib: format agnostic tabular dataset library (Python 3)

 Tablib is a format agnostic tabular dataset library, written in Python. It
 allows you to import, export, and manipulate tabular data sets. Advanced
 features include, segregation, dynamic columns, tags & filtering, and seamless
 format import & export.
 .
 This package provides the Python 3.x module.