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Read time: 9 minutes. One section per tool. Each section says what it is, where to find it, an example, and what to watch out for. Prefer a walkthrough in order? Read your first day instead. The team will decide which of the two pages to publish, or publish both. |
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Example. Open the Launcher, click a Python notebook, type print("hello"), and press Shift+Enter.
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JupyterLab: file browser, Launcher tiles, and the platform tools down the left edge.
Watch out. Your workspace costs money while it runs. Stop it when you finish.
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/efs/lists a folder for every project you belong to. Permissions stop you from opening other people's folders.- The file browser and the terminal show the same files in a different layout. The permissions are the same in both.
- Object storage in a remote AWS account (your institution's, or a mission's) is not charged to your project. See How you pay for it.
How big is your home folder? It starts at 10 GB, and it can be made larger — ask the platform team. Do not ask for more than you need: a very large home volume makes your workspace slower to start. Put large data in /efs/<project> or in object storage instead.
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Where. Inside JupyterLab, next to your notebook.
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The Notebook Intelligence panel. Type your question at the bottom.
Example — explain. Select a cell you do not understand and ask for an explanation.
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