It will download the ubuntu images from the docker hub and run the container in a background.
How to build docker container python. Add docker files to workspace. Type the command written below and enter. Docker run is a command to run a container. When the prompt appears select python.
General as the app type. Our python data science container makes use of the following super cool python packages. Further down the rabbit hole. A dockerfile describes the software that makes up an image.
I am running the ubuntu images from the docker hub docker run ti d ubuntu. Open the command palette p windows linux ctrl shift p and use the docker. Dockerfiles contain a set of instructions that specify what environment to use and which commands to run. 125mb is a significant improvement over the 958mb that we started with.
First start with a fresh empty directory. Python dockerize your python application dockerize your python application. Flask or python. Dockerfiles enable you to create your own images.
Python data science packages. Open the project folder in vs code. Numpy or numeric python supports large multi dimensional arrays and matrices it provides fast precompiled functions for mathematical and numerical routines. To install python in a docker container the first step is to run the docker container as a background process.
When you specify an image docker looks first for the image on your docker host. Add docker files to the project. Ubuntu is the image you run. To run container you will use docker run command.