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Docker has become one of the commonly used tools in modern development, which can run various types of applications. Among them, Python is a very popular programming language, so running Python code in Docker has also attracted the attention of many developers. In this article, we will explore how to get Docker to run Python code.
First, we need to create a Dockerfile and define the environment required for Python to run. Dockerfile is a text file that specifies the configuration information related to the Docker image. We can use the following command to create a Dockerfile:
touch Dockerfile
Then we can write the required environment configuration information in the Dockerfile. For example, you need to specify the basic environment required for Python to run, as shown below:
FROM python:3.9 WORKDIR /app COPY requirements.txt /app/requirements.txt RUN pip install -r requirements.txt COPY . /app CMD ["python", "app.py"]
In the above Dockerfile, we specified the Python 3.9 image as the base image, WORKDIR is used to specify the working directory, and COPY is used Copy the files from your local file system into the Docker image's working directory. We also installed the required Python packages using pip to enable the environment to support executable Python code. Finally, we specify the execution command of the Python file through the CMD command, and app.py can be modified according to the actual situation.
In addition, in the above Dockerfile, we also use a requirements.txt file to define the Python packages we need to install. In this file, we can specify all the necessary dependencies, for example:
Flask==2.0.1 numpy==1.21.0 pandas==1.3.0
Next, we can build and run our Docker image. Type the following command into the command line to build our Docker image.
docker build -t python-docker .
In the above command, "-t" specifies the name of our Docker image, and "." refers to the location of the Dockerfile file under the current path.
After the build is completed, we can use the following command to run the Docker container:
docker run -it –rm python-docker
In the above command, "-it" refers to starting the interactive container, and "-rm" refers to The Docker container is automatically deleted after exiting. At this point, we have successfully run Python code in Docker!
In this article, we introduced how to run Python code in Docker. First, we need to create a Dockerfile and define the environment required for Python to run. We can then use the requirements.txt file to define the Python packages we need to install. Finally, we can build and run our Docker container so we can successfully run Python code in Docker!
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