bcolz 1.1.0+ds1-5 source package in Ubuntu
Changelog
bcolz (1.1.0+ds1-5) unstable; urgency=medium * deb/changelog: remove a trailing whitespace. * deb/control: + bump standards to 4.1.3 (no further changes needed). + update Vcs fields (project moved to salsa). * deb/copyright: + use HTTPS in format field. + expand copyright span to 2018. * deb/gbp.conf: + drop section import-orig. + change default branch to debian/master. + add sign-tags field. * deb/rules: + add check if nodoc is set for DEB_BUILD_OPTIONS. -- Daniel Stender <email address hidden> Tue, 20 Feb 2018 09:24:01 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bcolz_1.1.0+ds1-5.dsc | 2.4 KiB | bc6d3763dd74ea9afc02523ce01d41b7ce95b98be194598525bacbf2e4deda13 |
bcolz_1.1.0+ds1.orig.tar.xz | 351.2 KiB | 443ef8ec378e204de798049fea002ff7f862f203cf25ca8dcc50369e76b2c7d5 |
bcolz_1.1.0+ds1-5.debian.tar.xz | 4.5 KiB | 389cce94a30a240dd2c6806c31e36fdb2dce1cece24bfd6f42c4490dc3d51888 |
Available diffs
No changes file available.
Binary packages built by this source
- bcolz-doc: high performant compressed data container (documentation)
bcolz provides columnar, chunked data containers that can be compressed
in-memory and on-disk. Column storage allows for efficiently querying
tables, as well as for cheap column addition and removal. It is based on
NumPy, and uses it as the standard data container to communicate with
bcolz objects, but it also comes with support for import/export facilities
to/from HDF5/PyTables tables and Pandas dataframes.
.
This package contains the documentation.
- python-bcolz: high performant compressed data container based on NumPy (Python 2)
bcolz provides columnar, chunked data containers that can be compressed
in-memory and on-disk. Column storage allows for efficiently querying
tables, as well as for cheap column addition and removal. It is based on
NumPy, and uses it as the standard data container to communicate with
bcolz objects, but it also comes with support for import/export facilities
to/from HDF5/PyTables tables and Pandas dataframes.
.
This package contains the modules for Python 2.
- python-bcolz-dbgsym: debug symbols for python-bcolz
- python3-bcolz: high performant compressed data container based on NumPy (Python 3)
bcolz provides columnar, chunked data containers that can be compressed
in-memory and on-disk. Column storage allows for efficiently querying
tables, as well as for cheap column addition and removal. It is based on
NumPy, and uses it as the standard data container to communicate with
bcolz objects, but it also comes with support for import/export facilities
to/from HDF5/PyTables tables and Pandas dataframes.
.
This package contains the modules for Python 3.
- python3-bcolz-dbgsym: debug symbols for python3-bcolz