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docs/20-dev-env/2-dev-env-setup.mdx

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@@ -17,9 +17,9 @@ If for some reason, you are unable to access the lab through Instruqt, try GitHu
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Instruqt is a lab platform that provides cloud-based sandboxes which come pre-configured with all the tools you need to run this lab.
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Navigate to the Instruqt lab using [this](http://mdb.link/instruqt-ai) link. Fill out the form that appears and click ***Submit and access**.
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**Navigate to the Instruqt lab using [this](http://mdb.link/instruqt-ai) link.** Fill out the form that appears and click **Submit and access**.
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<Screenshot url="https://play.instruqt.com" src="img/screenshots/20-dev-env/2-dev-env-setup/instuqt/1-submit-form.png" alt="Submit Instruqt form" />
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<Screenshot url="https://play.instruqt.com" src="img/screenshots/20-dev-env/2-dev-env-setup/instruqt/1-submit-form.png" alt="Submit Instruqt form" />
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Click **Start** to launch the lab environment.
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A codespace is a cloud-hosted development environment from GitHub, that comes pre-configured with all the tools you need to run this lab.
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Navigate to [this](https://github.com/codespaces/new/mongodb-developer/genai-devday-notebooks?quickstart=1) link. You will be prompted to sign into GitHub if you haven't already. Once signed in, click the **Create new codespace** button to create a new codespace.
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**To create a codespace, navigate to [this](https://github.com/codespaces/new/mongodb-developer/genai-devday-notebooks?quickstart=1) link.** You will be prompted to sign into GitHub if you haven't already. Once signed in, click the **Create new codespace** button to create a new codespace.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/1-create-codespace.png" alt="Start a codespace" />
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/2-click-leaf.png" alt="Click leaf icon" />
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Under **Connections**, click the _mongodb:27017_ connection. This should automatically establish a connection to the local MongoDB cluster running on port 27017.
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Under **Connections**, click the _Local MongoDB Atlas_ connection. This should automatically establish a connection to the local MongoDB cluster running on port 27017.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/3-connect-cluster.png" alt="Connect to the cluster" />
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If the connection was successful, you should see the message **Connected to: mongodb:27017** with a green indicator.
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If the connection was successful, you should see a green leaf and a "connected" message appear around the _Local MongoDB Atlas_ connection.
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You will also see the default databases in the cluster appear under **Connections**. Any additional databases we create during the lab will also appear here.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/5-nav-notebook.png" alt="Navigate to the notebook" />
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Next, select the Python interpreter by clicking **Select Kernel** at the top right of the IDE.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/6-select-kernel.png" alt="Select kernel" />
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In the modal that appears, click **Python environments...** and select the interpreter that is marked as **Recommended** or **Global Env**.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/7-python-env-modal.png" alt="Select Python Environments" />
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/8-select-recommended.png" alt="Select recommended interpreter" />
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That's it! You're ready for the lab!
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