Getting Started

The Sandbox is free to use. Visit sandbox.digitalearth.africa to sign up for a new account, or sign in if you have an existing account.

Register

1. Visit sandbox.digitalearth.africa and click Login or Sign up.

2. Click Sign up.

3. Fill in the Username, Name, Email and Password fields. Passwords must be at least 8 characters, and contain at minimum a lower case letter, an upper case letter and a number. Record your username securely as it will be required to reset your password should you forget it.

4. Click Sign up.

5. A verification code will have been sent to your nominated email address. Enter the verification code and click Confirm Account. This will automatically log you in.

Note

If you have not received the verification code email, please check your spam or junk mail folders.

Access

Sign in at: sandbox.digitalearth.africa

After signing in, you will be given a option of sandbox types to choose from:

Default: 2 Cores, 16G Memory

You may see other options as well. For regular users, the default environment should be enough for most of your needs.

Select Default environment and click Start.

The Sandbox will then prepare a JupyterLab environment for you; this can take a few minutes. You will automatically be redirected to the Sandbox environment.

The Sandbox runs completely in-browser and all necessary software is provided as part of this environment, so no additional installation or configuration is required.

Navigate

The JupyterLab interface consists of the main work area (right-hand panel), the left sidebar (containing a file browser and other useful features), and a menu bar along the top.

The main work area is where Jupyter notebooks will be displayed once opened. By default, the Launcher is displayed, which allows you to open new files.

To open an existing Jupyter notebook, double-click through the folders to find a notebook you’re interested in, then double-click the notebook to open it in the main work area. Notebooks are indicated by the .ipynb file extension. The JupyterLab interface also supports plain text and Markdown files.

To learn more about JupyterLab, visit the JupyterLab Documentation.