bcolz 1.1.0+ds1-4build1 source package in Ubuntu

Changelog

bcolz (1.1.0+ds1-4build1) artful; urgency=medium

  * No change rebuild to add Python 3.6 support.

 -- Michael Hudson-Doyle <email address hidden>  Mon, 15 May 2017 14:48:02 +1200

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Uploaded by:
Michael Hudson-Doyle on 2017-05-15
Uploaded to:
Artful
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
bcolz_1.1.0+ds1.orig.tar.xz 351.2 KiB 443ef8ec378e204de798049fea002ff7f862f203cf25ca8dcc50369e76b2c7d5
bcolz_1.1.0+ds1-4build1.debian.tar.xz 4.4 KiB bbc920f807afa76178e1a469538691a24ad86393dad5aae0d643e5429d6df524
bcolz_1.1.0+ds1-4build1.dsc 2.4 KiB 00eebeb42d1f722a04a483f9394d89f5c395d789cf28457de216e62b4bca05e3

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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