Working with Google Drive in Jupyter and Deepnote can greatly enhance your data science workflow by enabling easy access to your datasets and notebooks. To get started, mount your Google Drive using the Google Colab integration in Jupyter:
- Import the `drive` module from Google Colab.
```python
from google.colab import drive
```
- Mount your Google Drive to the Colab environment.
```python
drive.mount('/content/drive')
```
- Access files by navigating to the `/content/drive/My Drive/` directory in your notebook.
For Deepnote, you can directly integrate Google Drive:
- Go to your Deepnote project and click 'Integrations' on the left sidebar.
- Find Google Drive in the list of available integrations and click 'Connect'.
- Follow the prompts to authorize Deepnote to access your Google Drive.
Once connected, your Google Drive will appear as a folder in the Deepnote file sidebar, allowing you to easily interact with your files.