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A common, beautiful interface to tabular data, no matter the format
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turicas Add Jupyter notebook integration
The following methos were created on `rows.Table`:
- `_repr_html_`
- `head` (compatible with pandas DataFrame)
- `tail` (compatible with pandas DataFrame)
Latest commit fa0a752 Apr 17, 2019
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docs Add Jupyter notebook integration Apr 17, 2019
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rows Add Jupyter notebook integration Apr 17, 2019
tests Add Jupyter notebook integration Apr 17, 2019
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.env Update contributing docs to add PostgreSQL Aug 3, 2018
.gitignore Fix Dockerfile and add Docker Hub usage to docs Feb 13, 2019
AUTHORS.md Update contributors Jun 23, 2018
Dockerfile Fix Dockerfile and add Docker Hub usage to docs Feb 13, 2019
LICENSE Rename COPYING.LESSER to LICENSE Oct 11, 2017
Makefile Delete gh-pages before building docs Feb 13, 2019
README.md
docker-compose.yml
mkdocs.yml Change version number to 0.4.1 Feb 14, 2019
requirements-development.txt Enhance documentation and update `make docs` Feb 13, 2019
requirements.txt Refactor requirements files Sep 2, 2015
rows.1.txt PEP8 everything (thanks to black, isort and autoflake) Feb 9, 2019
setup.py Use dataclasses to describe Source Mar 22, 2019
tox.ini Add Python3.6 to tox and envtest Jun 6, 2017

README.md

rows

Join the chat at https://gitter.im/turicas/rows Current version at PyPI Downloads per month on PyPI Supported Python Versions Software status License: LGPLv3

No matter in which format your tabular data is: 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. :)

Want to learn more? Read the documentation (or build and browse the docs locally by running make docs-serve after installing requirements-development.txt).

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