What is the method for containerizing Python scripts for deployment?

One common method for containerizing Python scripts is to use Docker for deployment.

1. Create a Dockerfile: Create a file named Dockerfile in the project’s root directory and define the building rules for the Docker image in it.

FROM python:3.9 # 使用Python 3.9作为基础镜像

WORKDIR /app # 设置工作目录为/app

COPY requirements.txt . # 将requirements.txt复制到容器中

RUN pip install --no-cache-dir -r requirements.txt # 安装依赖

COPY . . # 将整个项目复制到容器中

CMD ["python", "your_script.py"] # 运行Python脚本

1. Build Docker image: Navigate to the project’s root directory in the terminal and execute the following command to build the Docker image.

docker build -t your_image_name .

1. Run Docker container: Run the following command to start a Docker container.

docker run -it your_image_name

The above method will run a Python script in a Docker container. You can make appropriate modifications based on the project requirements, such as adding other dependencies or configuring environment variables.