HowellWang/DS_docker: This repository is the Docker container for Python data science packages to support multi-platform development. · GitHub

This repository is the Docker container for Python data science packages to support multi-platform development. It's the tool I use to support for "Data Science Analysis with Python" to MSBA, MSIS, MSSC and MBA students at the Leavey School of Business at Santa Clara University. Thanks to dataquest and vik, I build it by your original container.

• git clone https://github.com/dataquestio/ds-containers.git DS_docker to the local machine.
• Go to https://www.docker.com/community-edition and install docker for your operating system. Follow the instructions.
• CD DS_docker, then Run sh build_container.sh python2 to build the container
• Run docker run -d -p 8888:8888 -v ORIGIN_FOLDER:/home/ds/notebooks dataquestio/python2-starter
  • Replace ORIGIN_FOLDER with a folder on your local machine that you want to persist notebooks in. (eg: home/peter/ds_notebook)
• Open your browser and start working with IPython notebook.
  • On Linux, the url will be localhost:8888.
  • On Windows/OSX, run docker-machine ip default (replace default with the name of your machine). Then, you'll be able to access IPython notebook at CONTAINER_IP:8888. If it asks you to input token, you could see the next step and enroll in bash, then input jupyter notebook list, you'll see the token.
• Run docker ps to check the docker container id like e3f285fe4a3d, then Run docker exec -it e3f285fe4a3d /bin/bash to open a shell prompt in the container with id e3f285fe4a3d.
• After running docker exec, you'll be put into a shell prompt inside the container. The container is running python in a virtual environment called ds, which should already be activated.To install packages, just type pip install PACKAGE_NAME. For our class requirement, you could use it install "fix_yahoo_finance" and "pydotplus". For "fix_yahoo_finance", you just need to input pip install fix-yahoo-finance --upgrade --no-cache-dir. For "pydotplus", you need to input sudo apt-get update, then input sudo apt-get install graphviz, last input pip install pydotplus.When you want to exit the container shell prompt, just type exit.