rows 0.4.2~0-2 source package in Ubuntu
Changelog
rows (0.4.2~0-2) unstable; urgency=medium * Add patch to fix invalid version number (Closes: #1030448) -- Antonio Terceiro <email address hidden> Sun, 05 Feb 2023 23:14:17 +0100
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | universe | misc | |
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
rows_0.4.2~0-2.dsc | 2.3 KiB | 9abd61a3ee45a2f918ce02244fc83402765d91f6125f2c397c3ac08788a1e9fe |
rows_0.4.2~0.orig.tar.gz | 936.5 KiB | ae6a131784af68cb60c4db5ac472f85a8af0b9ae80e245ad58ca27c0e74ca061 |
rows_0.4.2~0-2.debian.tar.xz | 7.3 KiB | 896654561a4fa04e8ae47d3009cdf212f9b96d1648229746a1685b650a4fd6c8 |
Available diffs
- diff from 0.4.2~0-1 to 0.4.2~0-2 (1.1 KiB)
No changes file available.
Binary packages built by this source
- python3-rows: library to tabular data, no matter the format
No matter in which format your tabular data is: python3-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.