bcolz 1.1.0+ds1-4 source package in Ubuntu

Changelog

bcolz (1.1.0+ds1-4) unstable; urgency=medium

  * deb/tests/control: add allow-stderr to Restrictions.

 -- Daniel Stender <email address hidden>  Thu, 26 Jan 2017 14:44:22 +0100

Upload details

Uploaded by:
Debian Science Team on 2017-01-26
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
Artful release on 2017-04-20 universe misc
Zesty release on 2017-01-27 universe misc

Downloads

File Size SHA-256 Checksum
bcolz_1.1.0+ds1-4.dsc 2.4 KiB dc41962cff0e53606ac901ad9e88f9764363cb31c51be20213c268bad6e9f216
bcolz_1.1.0+ds1.orig.tar.xz 351.2 KiB 443ef8ec378e204de798049fea002ff7f862f203cf25ca8dcc50369e76b2c7d5
bcolz_1.1.0+ds1-4.debian.tar.xz 4.3 KiB f0bca811865ac639e8f66e5254001ed9b9f32cba9b90b7d11de528df8b2cf8cf

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.

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.