$ docker run -p 5000:5000 -v $(pwd)/example_app:/opt/example_app/ -i -t example_app python /opt/example_app/run.py 你能看到网页又运行了。这次我们显式地提供运行的命令(”python /opt/example_app/ryn.py”),它覆盖了Dockerfile中的CMD行的设置。现在如果编辑在主机上的源程序,就能马上看到...
app=Flask(__name__)@app.route('/')defhello_world():return'Hello, Docker Python Development Environment!'if__name__=='__main__':app.run(host='0.0.0.0',port=5000) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 启动应用 最后,我们可以在容器中运行这个Flask应用: python app.py 1...
1 使用 Dockerfile 在 Dockerfile 中指定所需要的 Python 版本和所需的依赖包，然后构建镜像。这种方法...
To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash Share images, automate workflows, and more with a free Docker ID: https://hub.docker.com/ For more examples and ideas, visit: https://docs.docker.com/get-started/ ... Listing 2-1Resp...
Docker 容器的核心功能。 前期准备:需要一台已经安装了 Docker 的 Linux 虚拟机。 构建一个镜像 首先我们准备一个应用。新建一个本文文件,起名叫 app.py,里面写入下面的内容,实现一个简单的 web 应用: from flask import Flask import socket import os ...
While, it’s true, once you have things set up and understand Docker, it really will be so easy that you can set up any real world Python web app in 1 command, and it will work just the same on Windows, MacOS and Linux in both development and production. ...
docker run -p 5000:80 helloworld python app.py 如果上面的指令执行后,能够输出下面的内容,则表示容器启动成功了: \* Serving Flask app "app" (lazy loading) \* Environment: production WARNING: Do not use the development server in a production environment. Use a production WSGI server instead. ...
3、集成开发环境(IDE:Integrated Development Environment) 您可以使用图形用户界面(GUI)环境来编写及运行Python代码。以下推荐各个平台上使用的IDE: Unix: IDLE 是 UNIX 上最早的 Python IDE 。 Windows: PythonWin 是一个 Python集成开发环境,在许多方面都比 IDE 优秀,PyCharm也是相当的出色,我们使用PyCharm ...
environment(['TZ=Asia/Shanghai']) service.ports(['80:80','443:443']) service.volumes(['/tmp:/tmp']) compose = Composes('development') compose.version('3.9') compose.services(service) # print (compose.debug()) print(compose.dump()) compose.save() # compose.save('/tmp/docker-...
(env) user@USER:/mnt/c/Projects/HelloWorld$ python3 -m flask run * Environment: production WARNING: This is a development server. Do not use itina production deployment. Use a production WSGI server instead. * Debug mode: off * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit...