a collection of data science helper functions

This is a loose collection of code that is ever-expanding. It currently has no purpose, but to make me a better programmer. Additionally it has the broader goal of containing useful and reproducible code that others will enjoy using.

1.6

MIT, see GreyLICENSE.txtGrey for further details.

Lambdata is written for Python 3. Hopefully the module has no external dependencies.

If you have pip, you can automatically download and install from the PyPi repository: Grey box: pip install -i https://test.pypi.org/simple/ lambdata-skredenmathias==0.1.6

If none of the above works, you can make Python aware of the module in three ways:

• Put the pattern folder in the same folder as your script.
• Put the pattern folder in the standard location for modules so it is available to all scripts: -- c:\python26\Lib\site-packages\ (Windows), -- /Library/Python/2.6/site-packages/ (Mac OS X), -- /usr/lib/python2.6/site-packages/ (Unix). -Add the location of the module to sys.path in your script, before importing it: Grey MODULE = '/users/tom/desktop/pattern' import sys; if MODULE not in sys.path: sys.path.append(MODULE) from pattern.en import parsetree Grey

https://docs.pytest.org/en/latest/

The source code is hosted on GitHub and contributions or donations are welcomed.

Lambdata is bundled with the following data sets, algorithms, and Python packages: Pandas, Pandas/dev Numpy, numpy/dev Unittest