![]() Made the change and saved the notebook, you’ll see the notebook listed under “Changed”. Our change will move the “data source” text further left on the plot. Now let’s edit a notebook called NASA_Sea_level.ipynb. Click on the “Current Branch” panel, then the “New Branch” button. Git workflow: branchīefore we edit any notebooks, let’s create a separate branch to track all of our changes.Ĭreate a new branch by navigating back to the Git panel. We are now in a Git repository, so the Git panel displays various Git information: which branch you are in, uncommitted changes you have made, and a panel to commit your changes. Navigate to the awesome-notebooks folder and click on the Git icon on the left-hand panel: Now the repository is cloned to your local machine & you can see the awesome-notebooks folder in the navigation panel. You can follow these instructions to learn more about setting up the appropriate authentication protocol to connect to a private repository.Ĭlick on the Clone a Repository button on the JupyterLab Git extension panel and paste the repository link we copied above: Next, navigate to the forked repository, click on the green Code button, and copy the link to clone the repository: Let’s fork the repository so we can make some changes. We’ll clone the repository of example notebooks provided by the naas.ai project. Navigate to a folder that is already in a Git repository. ![]() You’ll see a new Git menu item at the top and a Git icon on the left-hand panel (shown in red):Ĭlick on the icon to set up the Git extension: ![]() JupyterLab will automatically open in your web browser. If you are using a newer version of JupyterLab (version 3.0 or later), you can install the Git extension the same way you install any other Python packages, using pip or Conda: In this post, we’ll talk about a JupyterLab Git extension that offers a UI based notebook git workflow (git clone, pull, push, diff, merge) right from within the JupyterLab UI. ![]() If you haven’t yet used GitHub with Jupyter, check out our basic tutorial which will show you a command line workflow to use Git / GitHub with notebooks. You can use version control tools like Git and GitHub with Jupyter Notebooks to: Version control is indispensable to collaboration in Jupyter Notebooks. ![]()
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