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| Started by | Shawn Brown <03sjbrown@gmail.com> |
|---|---|
| First post | 2016-05-17 08:08 -0400 |
| Last post | 2016-05-17 08:08 -0400 |
| Articles | 1 — 1 participant |
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datatest 0.6.0 (First public release!) Shawn Brown <03sjbrown@gmail.com> - 2016-05-17 08:08 -0400
| From | Shawn Brown <03sjbrown@gmail.com> |
|---|---|
| Date | 2016-05-17 08:08 -0400 |
| Subject | datatest 0.6.0 (First public release!) |
| Message-ID | <mailman.56.1463486917.19823.python-announce-list@python.org> |
I'm happy to announce the first public release of datatest.
Datatest extends the standard library's unittest package to
provide testing tools for asserting data correctness.
* Docs: http://datatest.readthedocs.io/en/latest/
* PyPI: https://pypi.python.org/pypi/datatest/
* GitHub: https://github.com/shawnbrown/datatest
* Issues: https://github.com/shawnbrown/datatest/issues
For more than a year now, all of the data used at the National
Committee for an Effective Congress <http://ncec.org/about>
has been checked with test suites built on datatest. The
package has reached a point where it can be more generally
useful and most of the kinks appear to be resolved. Having
said that, this is a beta release and the API may change in
small ways before version 1.0.0.
* Pure Python; tested on versions 2.6 through 3.5.
* Currently supports:
- CSV files
- pandas DataFrames (requires pandas)
- MS Excel worksheets (requires xlrd)
- SQLite tables
- [more to come]
* Permissive license (Apache 2.0).
Looking to the future, I intend to add more optimizations,
improved py.test integration (including a py.test plugin),
and support for a few more data sources before making an
official stable release.
-Shawn Brown
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