Easily prepare a Jupyter Notebook environment with Docker (Tensorflow and Graphviz are also available)

Introduction

I want to do data analysis and machine learning for a while, but the environment preparation is a little troublesome, I'm doing hands-on, but I think it's possible that it takes a lot of time just to explain the environment setup.

Jupyter Notebook is a great functional environment, and you can use it with a web browser. It is convenient to put such an environment in Docker, and if you start it with your own Local or start it with a cloud server, anyone with a web browser can use it, so it is easy.

I have a Docker Container that has already been released, but I'm missing some of them, so I made an additional one, so I'll share it.

Jupyter Notebook Docker Container

The Docker file is here. https://github.com/mokemokechicken/jupyter-tensorflow

What's in

How to use

If you want to move it like this, it will be as follows.

run.sh


docker run -d -p 8888:8888 -v `pwd`/notebooks:/home/jovyan/work -e PASSWORD="$PASSWORD" -e GRANT_SUDO=yes --user root mokemokechicken/jupyter-tensorflow start-notebook.sh

The Option is basically the same as https://github.com/jupyter/docker-stacks/tree/master/datascience-notebook, so please refer to that as well.

at the end

I think it would be convenient to deploy one such thing in the company for sharing a little work or studying.

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