Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker’s methodologies for shipping, testing, and deploying code quickly, you can significantly reduce the delay between writing code and running it in production.
Prerequisites: Docker should be installed and enabled
Pulling the Docker container image of CentOS from Docker hub
docker pull centos:8
Running the docker image
docker run -it — name C-os centos:8
Installing Python software
yum install python3
Installing Python Library
pip3 install numpy
pip3 install pandas
We can transfer the dataset from the Windows to the virtual machine by the software called as WinSCP
Editing the python code
vim xxx.py
Executing the python code
python3 xxx.py
Task Description 📄
👉 Pull the Docker container image of CentOS image from DockerHub and create a new container
👉 Install the Python software on the top of docker container
👉 In Container you need to copy/create machine learning model which you have created in jupyter notebook
