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avikdatta/python_data_docker_files

By avikdatta

•Updated almost 9 years ago

Python data analysis on Ubuntu 16.04 image

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avikdatta/python_data_docker_files repository overview

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⁠Python data analysis on Ubuntu

A Docker image for Python data analysis on Ubuntu 16.04. Installed Tools:

Pyenv
Python 3.5.2
Pandas
Scipy
Numpy
Scikit-learn
Matplotlib
Seaborn
Jupyter-notebook
Beautiful soup 4

⁠Setup instructions

I ubuntu installed in virtual box for running the Jupyter notebook sessions. The setup instructions can be find below

  • Install docker and docker.io
  • Create docker group

sudo groupadd docker

  • Add user to the group docker sudo usermod -aG docker $USER

  • Start docker daemon


sudo service docker restart

For ubuntu > 14.04


sudo service docker.io restart
  • Pull docker image

docker pull avikdatta/python_data_docker_files
  • Check the available images

docker images
  • Run Jupyter session

docker run -v /home/$user/data_dir:/home/vmuser/data \
           -p 8888:8888                              \
           --net=host                                \
           avikdatta/python_data_docker_files:latest \
           jupyter-notebook  --ip 0.0.0.0
  • Access the Jupyter secure session using the IP of the server/ virtual machine. You will need the token for accessing this instance

⁠Installing new packages

Any new packages/tools can be installed in the docker image using the interactive mode

  • Run bash from docker

docker run -v /home/$user/data_dir:/home/vmuser/data \
           -it avikdatta/python_data_docker_files:latest \
           /bin/bash

  • Install any tools using apt-get

  • Detach the docker container, use Control+pq

  • Get the container id


docker ps
  • Commit changes using a new tag name

docker commit $container_id avikdatta/python_data_docker_files:new_feature
  • Kill container

docker kill $container_id
  • Check the available images

docker images
  • Run new image

docker run -v /home/$user/data_dir:/home/vmuser/data      \
           -p 8888:8888                                   \
           --net=host                                     \
           avikdatta/python_data_docker_files:new_feature \
           jupyter-notebook --ip 0.0.0.0

Tag summary

Content type

Image

Digest

Size

1.6 GB

Last updated

almost 9 years ago

docker pull avikdatta/python_data_docker_files