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How to connect to Google Drive from Python

By Nick Barth

Updated on March 6, 2024

In the realm of data science and analysis, the integration of various tools is crucial for seamless workflow management. Deepnote, a collaborative Jupyter notebook platform, provides an excellent environment for data exploration and analysis. One of its key features is the ability to connect with Google Drive, enabling users to access and manipulate files by connecting Google Drive to Jupyter Notebook.

Why connect Google Drive to Deepnote?

Integrating Google Drive with Deepnote offers several advantages, including:

  1. Effortless file access: Directly access files stored in Google Drive within your Deepnote environment.
  2. Collaborative work: Share files easily with collaborators through Google Drive and work on them collectively in Deepnote.
  3. Seamless data handling: Retrieve datasets or files stored in Google Drive and use them in your data analysis pipelines without manual downloads.

Connecting Google Drive to Deepnote: Step-by-step guide

Follow these steps to connect your Google Drive to a Jupyter Notebook in Deepnote:

Step 1: Open Deepnote

Access Deepnote and sign in to your account. If you don't have one, you can create a new account quickly.

Step 2: Create a new project or open an existing one

Create a new project or open an existing project where you want to link your Google Drive.

Step 3: Access the docs for Google Drive integration

Deepnote provides detailed documentation for integrating Google Drive. Visit Deepnote's Google Drive documentation for a comprehensive guide on this integration.

Step 4: Follow the integration steps

Follow the instructions outlined in the Deepnote documentation to seamlessly link your Google Drive to your Deepnote project. These steps typically involve authenticating your Google account and granting necessary permissions.

Step 5: Access Google Drive from Jupyter notebook

Once the integration is complete, you can access your Google Drive files directly from your Deepnote project. This includes datasets, notebooks, images, and any other file types stored in your Drive.

Utilizing Google Drive within Deepnote

With the integration successfully established, you can leverage the connected Google Drive in various ways:

  1. Data import: Import datasets stored in Google Drive directly into your Deepnote notebooks for analysis.
  2. Collaborative editing: Share Jupyter notebooks via Google Drive, allowing collaborators to access and edit them in real-time on Deepnote.
  3. Exporting results: Save analysis results or modified files back to Google Drive for easy sharing and storage.


Integrating Google Drive with Deepnote enhances the collaborative and data-handling capabilities of Jupyter notebooks. By following these steps, users can seamlessly bridge the gap between their Google Drive storage and the powerful analytical capabilities offered by Deepnote.

In conclusion, connecting Jupyter Notebooks to Google Drive in Deepnote is a straightforward process that significantly enhances the efficiency and collaborative potential of data analysis workflows.

That’s it, time to try Deepnote

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