Setting up Python Interpreter and running Python Code on Docker Container

PYTHON

Python is an interpreted, high-level and general-purpose programming language. Python’s design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. Python is often described as a “batteries included” language due to its comprehensive standard library.

DOCKER

Docker is a set of the platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers.Containers are isolated from one another and bundle their own software, libraries, and configuration files; they can communicate with each other through well-defined channels. Because all of the containers share the services of a single operating system kernel, they use fewer resources than virtual machines.[8]

We have to create an image that gives us a python interpreter.

MAKING OUR DOCKER IMAGE

=>Creating a Dockerfile for python REPL

FROM centos: latest

RUN yum install python3 -y

CMD [“/usr/bin/python3”

Save this in a file named dockerfile.

Now build the image using the command

docker build -t myrepl:v1 .

let’s run it

=>We have to create one more image to run a python file in our docker container

FROM centos: latest

RUN yum install python3 -y

WORKDIR /code

ENTRYPOINT [“/usr/bin/python3”]
CMD [“ — version”]

Save this code in a file named dockerfile and run the command

docker build -t name: tag.

Let’s run this container

It is working…