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https://github.com/explosion/spacy-notebooks

💫 Jupyter notebooks for spaCy examples and tutorials
https://github.com/explosion/spacy-notebooks

jupyter jupyter-notebook spacy tutorials

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💫 Jupyter notebooks for spaCy examples and tutorials

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# spaCy Jupyter notebooks

An ongoing collection of [Jupyter](http://jupyter.org/) notebooks (formerly iPython notebooks) of easy-to-run [spaCy](https://github.com/explosion/spaCy) examples and tutorials. To get started, simply fork or clone this repository, navigate to the new directory and [run the notebook server](https://jupyter.readthedocs.io/en/latest/running.html):

```bash
git clone https://github.com/explosion/spacy-notebooks
cd spacy-notebooks
jupyter notebook
```

## 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.
| [`advanced_text_analysis`](notebooks/conference_notebooks/advanced_text_analysis.ipynb) | [@JonathanReeve](https://github.com/JonathanReeve) | [@JonathanReeve](https://github.com/JonathanReeve/advanced-text-analysis-workshop-2017) | Advanced Text Analysis with spaCy and Scikit-Learn. Presented at NYU during NYCDH Week 2017.

## Contribute a notebook

Have you created a Jupyter notebook featuring spaCy, or have you converted one of the existing [examples](https://github.com/explosion/spaCy/tree/master/examples) or [tutorials](https://spacy.io/docs/usage)? We always appreciate [pull requests](https://github.com/explosion/spacy-notebooks) to this repository! 👍

Please keep in mind that this repository is MIT-licensed, so we'll only be able to publish notebooks that are available under MIT or a more permissive license.