Source: rows Section: utils Priority: optional Maintainer: Paulo Roberto Alves de Oliveira (aka kretcheu) Uploaders: Antonio Terceiro Build-Depends: debhelper (>= 11), dh-python, locales, locales-all, pylint, python3, python3-click, python3-coverage, python3-ipdb, python3-lxml, python3-mock, python3-nose, python3-nose-yanc, python3-openpyxl, python3-pip, python3-requests, python3-setuptools, python3-tqdm, python3-unicodecsv, python3-xlrd, python3-xlwt, txt2man Standards-Version: 4.5.0 Homepage: https://github.com/turicas/rows/ Package: rows Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, python3-click, python3-requests, python3-rows Recommends: locales, python3-magic, python3-lxml, python3-xlrd, python3-xlwt Suggests: locales-all Description: 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. Package: python3-rows Architecture: all Section: python Depends: ${misc:Depends}, ${python3:Depends}, python3-tqdm, python3-unicodecsv, python3-six, python3-requests, python3-requests-cache, Recommends: locales, locales-all, python3-lxml, python3-xlrd, python3-xlwt XB-Python-Version: ${python3:Versions} Provides: ${python3:Provides} Description: 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.