To list images, run the docker images command. As you are working in the terminal already, take a look at listing images using the CLI. It is not necessary for you to bother about establishing a Python environment in your local. It is one of the most efficient, dependable, and potent online compilers for the Python programming language. One is to use the Docker CLI and the other is to use Docker Desktop. Build, run, and share Python code online for free with the help of online-integrated python's development environment (IDE). To see a list of images you have on your local machine, you have two options. This action finds a specific version of Python or PyPy from the tools cache on each runner and adds the necessary binaries to PATH, which persists for the rest of the job. => => naming to docker.io/library/python-docker To use a pre-installed version of Python or PyPy on a GitHub-hosted runner, use the setup-python action. P圜harm supports all the major Python testing frameworks: Unittest. And, finally, the most important thing - you can explore test results in the test runner tab of the Run tool window: To learn about the numbers, read the Test Runner tab section. => COPY requirements.txt requirements.txt Run and debug tests right from the IDE, using the testing run/debug configurations. => FROM docker.io/library/python:3.8-slim-buster => load metadata for docker.io/library/python:3.8-slim-buster The sample application uses the popular Flask framework.Ĭreate a directory on your local machine named python-docker and follow the steps below to activate a Python virtual environment, install Flask as a dependency, and create a Python code file.
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