docker-python

Docker container template for Python development and deploy.

To build run:

$ sudo docker build -t wiliamsouza/python .

Change wiliamsouza and python to your Docker index username and your project name respectively.

To run:

$ sudo docker run -i -t wiliamsouza/python /bin/bash

Requirements

Use the production.txt, development.txt, testing.txt and base.txt files in requirements folder to add dependencies.

Source code

You can put your code in any folder name but you need to make a reference to it in Dockerfile environment variable PROJECT.

Entrypoint

You have the option to let your dockerized application behave like a binary, to do that just edit and uncomment the last lines Dockerfile, so it will take care to run your application when you call:

$ sudo docker run wiliamsouza/python 

Trusted builds

Now your project is dockerized and ready to become a trusted build. To know what it is and how it work proceed to the announcement blog post. Basically every time you change your code a trigger will build and update your project image inside of the docker index.