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

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Uploaded by:
kretcheu
Uploaded to:
Sid
Original maintainer:
kretcheu
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc
Lunar release universe misc

Builds

Lunar: [FULLYBUILT] amd64

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

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.