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content/learning-paths/cross-platform/daytona/local-dev.md

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Follow these steps to learn how to create and manage an example local development environment.
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To have a go, you can use a small dev container example from Microsoft. The example is a small Python application which uses flask to serve a single HTML page.
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To have a go, you can use a small dev container example from Microsoft. The example is a small Python application which uses Flask to serve a single HTML page.
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Visit the [GitHub repository](https://github.com/microsoft/vscode-remote-try-python) to review the project.
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A number of other IDEs can be used with Daytona. Refer to the [IDE documentation](https://www.daytona.io/docs/usage/ide/) for details.
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## Start the flask application
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## Start the Flask application
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To start the flask application, run:
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To start the Flask application, run:
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```console
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python -m flask run --port 9000 --no-debugger --no-reload
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```
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If you start Python in VS Code, it will automatically forward port 9000 and open a browser tab to see the web page.
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If you run the Python command in a terminal after using SSH to connect to workspace, you can forward the port by running the command below on your local machine with the name of your workspace:
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If you run the Python command in a terminal after using SSH to connect to a workspace, you can forward the port by running the command below on your local machine with the name of your workspace:
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```console
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daytona forward 9000 vscode-remote-try-python
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Now that you can create a workspace and connect to it, there are some other commands that you will find useful.
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Use the stop command to step the workspace. The dev container will stop on your local computer:
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Use the stop command to stop the workspace. The dev container will stop on your local computer:
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```console
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daytona stop

content/learning-paths/cross-platform/daytona/remote-dev-aws.md

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**Access Key ID**: Your access key ID that you generate in AWS for your account.
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**Device Name**: This is the root device of your EC2 virtual machine, leave the default.
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**Device Name**: This is the root device of your EC2 virtual machine. Leave the default.
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**Image ID**: This is the AMI for the operating system you want to run, make sure to use an Arm AMI. For example, Ubuntu 24.04 for Arm is `ami-096ea6a12ea24a797`.
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**Image ID**: This is the AMI for the operating system you want to run. Make sure to use an Arm AMI. For example, Ubuntu 24.04 for Arm is `ami-096ea6a12ea24a797`.
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**Instance Type**: EC2 instance type to create, for example `t4g.small`.
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content/learning-paths/cross-platform/daytona/remote-dev-docker.md

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---
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With Daytona, you can create and manage workspaces on other computers, that is not your local computer.
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With Daytona, you can create and manage workspaces on another computer that is not your local computer.
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This is useful if you have Arm-based servers on your local network or in the cloud and you want to use them for development.
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**Remote Port**: This is the SSH port, and the default is 22 unless you have changed the SSH configuration on the remote computer to use a different port.
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**Remote User**: This is the username you use to SSH, it cannot be root.
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**Remote User**: This is the username you use to SSH. It cannot be root.
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**Sock Path**: This is the path to the Docker daemon. Keep the default.
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You see your new target and the parameters listed. It is now the default target.
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### Create a new worksspace on the remote computer
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### Create a new workspace on the remote computer
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You can use `daytona create` to create a workspace on the remote computer. The command is the same as on the local computer. The default target is used, the new Docker remote computer.
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You can use `daytona create` to create a workspace on the remote computer. The command is the same as on the local computer. The default target is used: the new Docker remote computer.
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```console
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daytona create --no-ide https://github.com/microsoft/vscode-remote-try-python/tree/main

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