<commit_before>--------------------------------------------------------------------------------

# NOTE: *The Jupyter initialization action has been deprecated. Please use the Jupyter Component*

**The
[Jupyter Component](https://cloud.google.com/dataproc/docs/concepts/components/jupyter)
is the best way to use Anaconda with Cloud Dataproc. To learn more about
Dataproc Components see
[here](https://cloud.google.com/dataproc/docs/concepts/components/overview).**

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# Jupyter Notebook

This folder contains the initialization action `jupyter.sh` to quickly setup and
launch [Jupyter Notebook](http://jupyter.org/), (the successor of IPython
notebook) and a script to be run on the user's local machine to access the
Jupyter notebook server.

Note: This init action uses Conda and Python 3. Python 2 and `pip` users should
consider using the
[jupyter2 action](https://github.com/GoogleCloudPlatform/dataproc-initialization-actions/tree/master/jupyter2).

__Use the Dataproc
[Jupyter Optional Component](https://cloud.google.com/dataproc/docs/concepts/components/jupyter)__.
Clusters created with Cloud Dataproc image version 1.3 and later can install
Jupyter Notebook without using this initialization action. The Jupyter Optional
Component's web interface can be accessed via
[Component Gateway](https://cloud.google.com/dataproc/docs/concepts/accessing/dataproc-gateways)
without using SSH tunnels.
<commit_msg>Update README.md (#762)<commit_after>--------------------------------------------------------------------------------

# NOTE: *The Jupyter initialization action has been deprecated. Please use the Jupyter Component*

**The
[Jupyter Component](https://cloud.google.com/dataproc/docs/concepts/components/jupyter)
is the best way to use Jupyter with Cloud Dataproc. To learn more about
Dataproc Components see
[here](https://cloud.google.com/dataproc/docs/concepts/components/overview).**

--------------------------------------------------------------------------------

# Jupyter Notebook

This folder contains the initialization action `jupyter.sh` to quickly setup and
launch [Jupyter Notebook](http://jupyter.org/), (the successor of IPython
notebook) and a script to be run on the user's local machine to access the
Jupyter notebook server.

Note: This init action uses Conda and Python 3. Python 2 and `pip` users should
consider using the
[jupyter2 action](https://github.com/GoogleCloudPlatform/dataproc-initialization-actions/tree/master/jupyter2).

__Use the Dataproc
[Jupyter Optional Component](https://cloud.google.com/dataproc/docs/concepts/components/jupyter)__.
Clusters created with Cloud Dataproc image version 1.3 and later can install
Jupyter Notebook without using this initialization action. The Jupyter Optional
Component's web interface can be accessed via
[Component Gateway](https://cloud.google.com/dataproc/docs/concepts/accessing/dataproc-gateways)
without using SSH tunnels.

{'fraction_non_alphanumeric': 0.18406135378459487, 'fraction_numerical': 0.005001667222407469, 'mean_word_length': 3.0760869565217392, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 10, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3466349', 'n_tokens_mistral': 850, 'n_tokens_neox': 807, 'n_words': 270}