This guide shows you how to set up an example Python project {% data reusables.codespaces.setting-up-project-intro %}

{% data reusables.getting-started.sign-in-dotcom %}

1. Go to https://github.com/microsoft/vscode-remote-try-python. {% data reusables.codespaces.use-this-template %}

When you create a codespace, your project is created on a remote virtual machine that is dedicated to you. By default, the container for your codespace has many languages and runtimes, including Python. It also includes a common set of tools like git, wget, rsync, openssh, and nano.

{% data reusables.codespaces.customize-vcpus-and-ram %}

The default development container, or "dev container," for {% data variables.product.prodname_github_codespaces %} comes with the latest Python version, package managers (pip, Miniconda), and other common tools preinstalled. However, we recommend that you configure your own dev container to include all of the tools and scripts your project needs. This will ensure a fully reproducible environment for all {% data variables.product.prodname_github_codespaces %} users in your repository.

{% data reusables.codespaces.setup-custom-devcontainer %} {% data reusables.codespaces.command-palette-container %}

1. Start typing python and click Python 3 in the list. Other options are available if your project uses particular tools. For example, Python 3 & PostgreSQL.

   

2. Choose the version of Python you want to use for your project. In this case, select the version marked "(default)."

   

3. A list of additional features is displayed. We'll install Coverage.py, a code coverage tool for Python. To install this tool, type py, select Coverage.py (via pipx), then click OK.

   

{% data reusables.codespaces.overwrite-devcontainer-config %} {% data reusables.codespaces.details-of-devcontainer-config %}

// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/python
{
  "name": "Python 3",
  // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
  "image": "mcr.microsoft.com/devcontainers/python:0-3.11-bullseye",
  "features": {
    "ghcr.io/devcontainers-contrib/features/coverage-py:2": {}
  }

  // Features to add to the dev container. More info: https://containers.dev/features.
  // "features": {},

  // Use 'forwardPorts' to make a list of ports inside the container available locally.
  // "forwardPorts": [],

  // Use 'postCreateCommand' to run commands after the container is created.
  // "postCreateCommand": "pip3 install --user -r requirements.txt",

  // Configure tool-specific properties.
  // "customizations": {},

  // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
  // "remoteUser": "root"
}

{% data reusables.codespaces.devcontainer-properties-1 %} {% data reusables.codespaces.devcontainer-properties-2 %}

{% data reusables.codespaces.additional-container-config %}

With your dev container configuration added and a basic understanding of what everything does, you can now make changes to customize your environment further. In this example, you'll add properties that will:

• Install a package required by the application.
• Install a {% data variables.product.prodname_vscode_shortname %} extension in this codespace.

{% data reusables.codespaces.add-comma-after-features %}

"features": {
  "ghcr.io/devcontainers-contrib/features/coverage-py:2": {}
},

// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},

1. Uncomment the postCreateCommand property.

   // Use 'postCreateCommand' to run commands after the container is created.
   "postCreateCommand": "pip3 install --user -r requirements.txt",

{% data reusables.codespaces.add-extension-to-devcontainer %}

// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/python
{
  "name": "Python 3",
  // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
  "image": "mcr.microsoft.com/devcontainers/python:0-3.11-bullseye",
  "features": {
    "ghcr.io/devcontainers-contrib/features/coverage-py:2": {}
  },

  // Use 'forwardPorts' to make a list of ports inside the container available locally.
  // "forwardPorts": [],

  // Use 'postCreateCommand' to run commands after the container is created.
  "postCreateCommand": "pip3 install --user -r requirements.txt",

  // Configure tool-specific properties.
  "customizations": {
    // Configure properties specific to VS Code.
    "vscode": {
      // Add the IDs of extensions you want installed when the container is created.
      "extensions": [
        "streetsidesoftware.code-spell-checker"
      ]
    }
  }

  // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
  // "remoteUser": "root"
}

{% data reusables.codespaces.save-changes %} {% data reusables.codespaces.rebuild-command %} {% data reusables.codespaces.rebuild-reason %}

After the dev container is rebuilt, and your codespace becomes available again, the postCreateCommand will have been run, installing the package listed in the requirements.txt file, and the "Code Spell Checker" extension will be available for use.

In the previous section, you used the postCreateCommand to install a package for the Flask web framework. You can now use this to run the web application.

1. In the Terminal of your codespace, enter python -m flask run.

   

2. When your project starts, you should see a "toast" notification message at the bottom right corner of {% data variables.product.prodname_vscode_shortname %}, telling you that your application is available on a forwarded port. To view the running application, click Open in Browser.

   

{% data reusables.codespaces.committing-link-to-procedure %}

You should now be able to add a custom dev container configuration to your own Python project.

{% data reusables.codespaces.next-steps-adding-devcontainer %}