This post highlights a new project built by Gabriel de Marmiesse from the Docker community: Python-on-whales. The goal of this project is to have a 1-to-1 mapping between the Docker CLI and the Python library.
At Docker, we are incredibly proud of our vibrant, diverse and creative community. From time to time, we feature cool contributions from the community on our blog to highlight some of the great work our community does. The following is a guest post by Docker community member Gabriel de Marmiesse. Are you working on something awesome with Docker? Send your contributions to William Quiviger (@william) on the Docker Community Slack and we might feature your work!
The most common way to call and control Docker is by using the command line.
With the increased usage of Docker, users want to call Docker from programming languages other than shell. One popular way to use Docker from Python has been to use docker-py. This library has had so much success that even
docker-compose is written in Python, and leverages docker-py.
The goal of docker-py though is not to replicate the Docker client (written in Golang), but to talk to the Docker Engine HTTP API. The Docker client is extremely complex and is hard to duplicate in another language. Because of this, a lot of features that were in the Docker client could not be available in docker-py. Sometimes users would sometimes get frustrated because docker-py did not behave exactly like the CLI.
Today, we’re presenting a new project built by Gabriel de Marmiesse from the Docker community: Python-on-whales. The goal of this project is to have a 1-to-1 mapping between the Docker CLI and the Python library. We do this by communicating with the Docker CLI instead of calling directly the Docker Engine HTTP API.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running.