These notebooks were either made for testing things out for myself or helping other folks learn data-sciency db-y type things
Use jupyter in your favorite environment.
I've set things so thinks should mostly work out of the box via docker-compose.
$ docker-compose up -d
$ #goto http://localhost:8888 and use an empty password
Pipenv will require a local installation of python 3.6 available
$ pipenv install
$ pipenv run jupyter notebook
If you decide not to run in docker, you'll need a local install of
python 3.6 installed on your machine. You can do this via pyenv
pretty easily:
on Mac: $ brew install pyenv pyenv-virtualenv $ # follow brew installation instructions to update ~/.bashrc $ pyenv install 3.6.3
on Windows: $ pip install pyenv-win $ # follow pyenv-win installation instructions $ pyenv install 3.6.3
Finally, install pipenv with:
$ pip install pipenv