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 on 2018-02-20
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

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

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