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Getting Started

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Graham Wheeler edited this page May 19, 2016 · 2 revisions

The Google datalab Python package is used in [Google Cloud Datalab] (https://github.com/GoogleCloudPlatform/datalab) and can be used in Jupyter Notebook.

This adds a number of Python modules such as datalab.bigquery, datalab.storage, etc, for accessing [Google Cloud Platform services] (https://cloud.google.com/) as well as adding some new cell magics such as %chart, %bigquery, %storage, etc.

See https://github.com/googledatalab/notebooks for samples of using this package.

Installation

python setup.py install
jupyter nbextension install --py datalab.notebook --sys-prefix

The --sys-prefix should be omitted if not in a virtualenv. You can ignore the message about running jupyter nbextension enable; it is not required.

Using in Jupyter

In a notebook cell, enable with:

%load_ext datalab.kernel

Alternatively add this to your ipython_config.py file in your profile:

c = get_config()
c.InteractiveShellApp.extensions = [
    'datalab.kernel'
]

You will typically put this under ~/.ipython/profile_default. See [http://ipython.readthedocs.io/en/stable/development/config.html] (http://ipython.readthedocs.io/en/stable/development/config.html) for more about IPython profiles.

If you want to access Google Cloud Platform services such as BigQuery, you will also need to install [gcloud] (https://cloud.google.com/sdk/gcloud). You will need to use gcloud to authenticate; e.g. with:

gcloud auth login

You will also need to set the project ID to use; either set a PROJECT_ID environment variable to the project name, or call set_datalab_project_id(name) from within your notebook.

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