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## Table of contents

| Notebook | Content by | Notebook by | Description |
| --- | --- | --- | --- | --- |
| --- | --- | --- | --- |
| [`lightning_tour`](notebooks/lightning_tour.ipynb) | [@explosion](https://github.com/explosion) | [@bhargavvader](https://github.com/bhargavvader) | An overview of spaCy's functionality and its usage.
| [`pycon_nlp`](notebooks/conference_notebooks/pycon_nlp) | [@CytoraTech](https://github.com/cytora) | [@CytoraTech](https://github.com/cytora/pycon-nlp-in-10-lines) | spaCy introduction, and using spaCy to analyse Pride and Prejudice and the RAND dataset. Presented at PyCon UK 2016.
| [`pydata_nlp`](notebooks/conference_notebooks/modern_nlp_in_python.ipynb) | [@skipgram](https://github.com/skipgram) | [@skipgram](https://github.com/skipgram/modern-nlp-in-python) | Introduction to NLP in python using spaCy and gensim. Presented at PyData DC 2016.
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