Data Science Portfolio

A small portfolio to show and practice data science. This project is also aimed to help data scientist to get introduced to Docker on the specific field of data science.

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

Make sure you have installed Docker in your computer. Try to get your docker version on the command line

docker --version

It's been tested on Docker version 19.03.5 but upper versions may work as well.

Running

In the main folder run

make build-run

This will create the image and run the container. By default image name is datascience and container name notebook.

Accessing the notebooks

After making the build-run you should have a docker container named notebook running. To access the notebooks just open in your browser

http://localhost:8888/

And play!.

Stopping container and deleting image

If you just want to stop the running container type

make stop

To restart the container run

make start

but if you want to get rid of everything in this project (images and containers), i.e. remove them, then type

make remove

Running on local Python environment

If you prefer to work in your local machine and create a new environment, the best is to use pyenv and virtualenvwrapper. A full detailed tutorial is written here for a MacOS machine.