pip install editable docker

Title: Installing a Dockerized Python Package in Editable Mode with pip install -e
Introduction:
In this tutorial, we will explore how to install a Dockerized Python package in editable mode using the pip install -e command. This method allows developers to work on a Python project inside a Docker container while making changes to the codebase reflected instantly without the need for reinstalling the package.
Prerequisites:
Step 1: Set up your Python project:
Step 2: Dockerize your Python project:
Create a Dockerfile in the root of your project to define your Docker image. Below is a basic example for a Python project:
This Dockerfile sets up a Python 3.8 environment, sets the working directory to /app, copies the current directory into the container, and installs the project in editable mode.
Step 3: Build your Docker image:
Open a terminal in the directory containing your Dockerfile and run the following command:
This command builds a Docker image named your_project_image from the current directory.
Step 4: Run your Docker container:
After building the Docker image, you can run a container based on it:
This command starts a container interactively, allowing you to make changes to your Python code in the container.
Step 5: Edit your code in the Docker container:
While inside the Docker container, navigate to the /app directory, where your project code is located. Make any necessary changes to your code using your preferred code editor.
Step 6: Observe changes without reinstalling:
Since your project is installed in editable mode (pip install -e .), any changes you make to the code in the Docker container will be reflected instantly without needing to reinstall the package. This makes the development workflow more efficient.
Conclusion:
In this tutorial, we've covered the steps to install a Dockerized Python package in editable mode using the pip install -e command. This approach facilitates a smooth development process within a Docker container, allowing developers to see instant results when modifying the codebase.
ChatGPT