davidgasquez/dopyter repository overview

Opinionated mix of Docker + Python + Jupyter⁠ for Data Analysis. This project is inspired by the awesome Jupyter Docker Stacks⁠.

⁠Quick Start

Dopyter is only a Docker container with Jupyter, and a variety of Python 3 packages⁠ such as Numpy, Pandas, or Scikit Learn, in a ready-to-use form. To use Dopyter, you'll need to install Docker on your machine.

To launch an instance of Dopyter in the your current folder, run:

docker run -p 8888:8888 -it --rm davidgasquez/dopyter

You can also pass an .env file like this:

docker run -p 8888:8888 -it --env-file=.env --rm davidgasquez/dopyter

This will spawn Jupyter Lab in localhost:8888⁠. You can now start analyzing, plotting and predicting your fancy data.

⁠License

MIT © David Gasquez