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This release is a pre-release and may not be stable for production use.

A simple package designed to be used for demonstrating basic Natural Language Processing (NLP) feature engineering in Python.

## More Info:

### Practice Dataset

[Stack Exchange Data Dump](https://archive.org/details/stackexchange)

### Text Encoding

[The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) by Joel Spolsky](http://www.joelonsoftware.com/articles/Unicode.html)

#### Packages

### Natural Language Processing

[Care and Feeding of Topic Models: Problems, Diagnostics, and Improvementes](http://www.people.fas.harvard.edu/~airoldi/pub/books/b02.AiroldiBleiEroshevaFienberg2014HandbookMMM/Ch12_MMM2014.pdf)

### Functional Programing in Python

[Functional programming in Python Examine the functional aspects of Python: which options work well and which ones you should avoid By David Mertz](https://www.oreilly.com/ideas/functional-programming-in-python)

#### Packages

Metadata

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