1 Steps to use GitHub Codespaces

GitHub Codespaces lets you run the training materials in a browser-based development environment.

1.1 Step 1: Create GitHub

Create a free GitHub account at github.com or sign in to your existing account.

1.2 Step 2: Open training repository

Open the ntl-training repository.

1.4 Step 4: Open your codespace

GitHub will open the codespace in a browser-based VS Code window. Wait up to 2 minutes for this to complete setup.

1.5 Step 5: Open a notebook

Use the file explorer on the left to open the notebook you want to run.

1.6 Step 6: Select kernel

Click Select Kernel in the upper-right corner of the notebook, then choose the available Python kernel.

1.7 Step 7: Run!

Run the notebook cells from top to bottom.

# Steps to use GitHub Codespaces

GitHub Codespaces lets you run the training materials in a browser-based development environment.

## Step 1: Create GitHub

Create a free GitHub account at [github.com](https://github.com/) or sign in to your existing account.

## Step 2: Open training repository

Open the [ntl-training repository](https://github.com/worldbank/ntl-training).

![](../trainings/images/codespaces_repo.png)

## Step 3: Open Codespaces menu and create a codespace

On the repository page, click the green **Code** button. In the menu that opens, select the **Codespaces** tab, then click **Create codespace on main**.

![](../trainings/images/codespaces_create.png)

## Step 4: Open your codespace

GitHub will open the codespace in a browser-based VS Code window. Wait up to 2 minutes for this to complete setup.

![](../trainings/images/codespaces_open.png)

## Step 5: Open a notebook

Use the file explorer on the left to open the notebook you want to run.

![](../trainings/images/codespaces_notebook.png)

## Step 6: Select kernel

Click **Select Kernel** in the upper-right corner of the notebook, then choose the available Python kernel.

![](../trainings/images/codespaces_kernel.png)

## Step 7: Run!

Run the notebook cells from top to bottom.