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How To Install Python Packages in a Docker Container ?


In this post, we will see How To Install Python Packages in a Docker Container. When any Python packages is not correctly installed or not reachable from Docker , we are unable to import the packages and see the below error -


ImportError: No module named '<PACKAGE\_NAME>'
Note the below points regarding the Docker container -

  • Any package that you install through Dockerfile (for the Docker container) and Any package that you install on your laptop\machine - Both will "land" in different folders.
  • Suppose you have 10 Python packages installed in your computer\laptop. However a Docker container would not be "aware" of these installed packages. This is because a Docker container is isolated .
  Now let's see the different ways that we can install a Python package in a Docker container.  

Option 1 - Using Dockerfile:

  • Modify the existing Dockerfile of the Docker image or You can create a Fresh New Dockerfile by appending the Additional Package installation commands as shown below .  We are installing the highlighted in the Docker container using the additional line . This will build a new image.
 


FROM docker-dev.artifactory.company.com/centos:7.3.1611

\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
Existing commands in the Dockerfile
\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*

RUN yum install -y krb5-devel
RUN yum install -y python-devel
RUN yum install -y krb5-workstation
RUN yum install -y python-setuptools
RUN yum install -y python-pip
   

Option 2 - Using Container Console:

As an alternative , we can login to the Docker container and then directly install the package . For doing this , we have to go to the container console environment and execute the install commands therein.

  • Open the containers console using below command
 


$ docker exec -it <DOCKER\_CONTAINER\_NAME> /bin/bash
This will open the container console and then you can execute the install command like a regular terminal console -


pip install numpy
 

Option 3 - Using Jupyter Notebook (In The Docker Container):

This option is valid only if Jupyter Notebook is already there in the docker container. Assuming you have , as a next step open a New Terminal within Jupyter from the Top Right Dropdown menu by selecting "Terminal" option. And then install any package by running the regular install command as shown below -


pip install numpy
    Hope this helps.  

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