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 | Published | Component | Section | |
---|---|---|---|---|
Lunar | release | universe | python |
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
- diff from 3.2.1-2 to 3.3.0-1 (5.3 KiB)
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.