rows 0.1.1-3 source package in Ubuntu
Changelog
rows (0.1.1-3) unstable; urgency=medium
* debian/control:
- Bumped Standards-Version to 3.9.7.
* debian/manpage/genallman.sh:
- Fixed manpage generation script to be build reproducible, thanks to
Reiner Herrmann <email address hidden> (Closes: #816230).
-- Paulo Roberto Alves de Oliveira (aka kretcheu) <email address hidden> Tue, 15 Mar 2016 22:57:00 -0300
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Xenial | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| rows_0.1.1-3.dsc | 1.9 KiB | cf40c1271b56504954865642be747fcf746d383545d6492dfabd81502427d778 |
| rows_0.1.1.orig.tar.gz | 43.9 KiB | 908acdf95ff67e43fafcc45ce0dc48764534dab74bcd15cc497139359ab30009 |
| rows_0.1.1-3.debian.tar.xz | 7.8 KiB | 51d2645ee96128569b0ec39341819b2e94cc22509b45340e93277d164d9f8161 |
Available diffs
No changes file available.
Binary packages built by this source
- python-rows: library to tabular data, no matter the format
No matter in which format your tabular data is: python-rows will import it,
automatically detect types and give you high-level Python objects so you can
start working with the data instead of trying to parse it.
It is also locale and unicode aware.
.
The library is composed by:
.
* A common interface to tabular data (the Table class).
* A set of plugins to populate Table objects CSV, XLS, HTML, TXT.
* A set of common fields (such as BoolField, IntegerField) which know exactly
how to serialize and deserialize data for each object type you'll get.
* A set of utilities (such as field type recognition) to help working with
tabular data.
* Access to the most used features: convert between formats, sum, join and
sort tables. Just import rows and relax.
- rows: common, beautiful interface to tabular data, no matter the format
A command-line interface so you can have easy access to the most used
features: convert between formats, sum, join and sort tables.
No matter in which format your tabular data is: rows will import it,
automatically detect types so you can start working with the data instead of
trying to parse it. It is also locale and unicode aware.
