The development is consistent and in accordance with the target operating system where your application will reside.There are some advantages of doing your development inside a container: It is important to note the container is ephemeral by nature, meaning that it will destroy any changes on its filesystem if the container is destroyed at a later stage. Let’s try modifying our app by adding a string of Inside container01!! when creating a conf.txt file.Īs you can see changes applied are inside the container and thus you have an isolated development environment. Do not pay attention to that yet, we will review it in the next section. On the right, a terminal window with the container prompt, and at the top left the files that were copied to the container.Īlso, you can see the. We can see on the bottom left that we are connected to the container. You can now open a new terminal, which will open up the shell of the running container. This will open a new window, and start the process of syncing the editor and extensions with container01. We can see the container01 listed, right-click and select “Attach Visual Code Studio”. Now you will be presented with a view of the images and containers within your environment. Attaching to an Existing Containerįollowing on from the previous examples and the container that we previously built and ran, we need to open a new VSCode window and select the docker extension. This lets you use a Docker container as a full-featured development environment since it allows you to open any folder inside (or mounted into) a container and take advantage of Visual Studio Code features. You will need the Remote - Containers extension and preferably the Docker extension to manage your images and containers.
#Django development on visual studio code workspace how to
In this section, I will show how to use Visual Studio Code and its Docker integration for Python development. In the 1st part of this series we manipulated containers from the command line, and while that is useful editors and IDEs provide integration of application development with docker.
0 kommentar(er)
