PyCharm 2020.3 Help

Share Jupyter notebooks in Datalore

Datalore is an Online Data Science Notebook with smart coding assistance. PyCharm Professional bundles its plugin so that you can enable real-time remote access to your Jupyter notebooks and share them with your colleagues.

Upload a notebook to Datalore

  1. When you're ready to share your notebook, click Datalore on the Jupyter notebook toolbar.

  2. Now provide public access to your notebook. In the Share settings dialog, click Turn sharing via public link ON. You can now access your notebook on the web at the publishing service

  3. If you access Datalore for the very first time, you will be asked to login into the Datalore application. You can create a Datalore account or use your Google account. When logged in, Datalore shows the API token generated for your account. Click Confirm to proceed.

    Datalore token
    At any time you can open project Settings/Preferences Ctrl+Alt+S, select Tools | Datalore, and click Sign out to terminate your login session.
    Datalore settings

  4. Once you confirm the token, you can open a notebook in Datalore. The Datalore icon on the notebook toolbar changes its looks and provides a list of the available commands. Click it to select Open link and preview the notebook.

    Datalore menu
  5. If you have not made your notebook public by this time, click Share on the Datalore toolbar.

    Run in Datalore

    You can enable sharing the notebook through the link.

    Sharing a notebook via the link
  6. To execute your notebook cells in the Datalore application, click Edit on the Datalore toolbar.

    Run in Datalore command

    You can try various execution modes and preview execution time of each cell in your notebook.

    Running a notebook in Datalore

Note that once uploaded, your notebook remains in Datalore until you explicitly remove it from the list of your notebooks.

Delete a notebook from Datalore

Any time you want to revoke a token, you can do it in the Datalore view: Select Account settings | Tokens from the user profile menu. Then select a target token from the list and click delete the token.

Last modified: 08 March 2021