Add wine_quality notebook

Via https://github.com/pythoninthegrass/wine_quality

Author: pythoninthegrass

img/jupyterlab.png

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+**/__pycache__
+**/.classpath
+**/.dockerignore
+**/.DS_Store
+**/.editorconfig
+**/.env
+**/.git
+**/.github
+**/.gitignore
+**/.project
+**/.settings
+**/.toolstarget
+**/.vs
+**/.vscode
+**/*.*proj.user
+**/*.dbmdl
+**/*.jfm
+**/*.py#
+**/*.py~
+**/*.pyc
+**/azds.yaml
+**/bin
+**/charts
+**/compose*
+**/csv
+**/django
+**/docker-compose*
+**/Dockerfile*
+**/img
+**/node_modules
+**/npm-debug.log
+**/obj
+**/README.md
+**/secrets.dev.yaml
+**/terraform
+**/values.dev.yaml

jupyter/.dockerignore

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+JUPYTER_TOKEN=docker
+PORT=8888

jupyter/.env.example

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+FROM jupyter/minimal-notebook:latest
+
+# Keeps Python from generating .pyc files in the container
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Turns off buffering for easier container logging
+ENV PYTHONUNBUFFERED=1
+
+USER jovyan
+
+COPY . $HOME/work
+
+WORKDIR $HOME/work
+
+RUN conda install \
+    xarray \
+    netCDF4 \
+    bottleneck \
+    numpy \
+    pandas \
+    matplotlib \
+    jupyterlab
+
+# ENTRYPOINT ["python", "main.py"]
+CMD ["/bin/bash", "startup.sh"]
+# CMD ["/bin/bash"]

jupyter/Dockerfile

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+# wine_quality
+
+![JupyterLab](../img/jupyterlab.png)
+
+## Summary
+Udacity course on data science.
+
+**Table of Contents**
+* [wine_quality](#wine_quality)
+  * [Summary](#summary)
+  * [Setup](#setup)
+  * [Usage](#usage)
+    * [Poetry](#poetry)
+    * [Docker](#docker)
+    * [Both](#both)
+  * [TODO](#todo)
+  * [Further Reading](#further-reading)
+
+## Setup
+* Install
+    * [editorconfig](https://editorconfig.org/)
+    * [asdf](https://asdf-vm.com/guide/getting-started.html#_2-download-asdf)
+    * [poetry](https://python-poetry.org/docs/)
+    * [docker](https://docs.docker.com/compose/install/)
+* Download CSVs from [here](https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/)
+  * Move to `csv` directory
+
+## Usage
+### Poetry
+* Install requirements via Poetry: 
+    ```bash
+    poetry install
+    poetry run ipython kernel install --name "python3.10.7" --user
+    ```
+* Run Jupyter Lab
+    ```bash
+    poetry shell
+    jupyter lab --ip=0.0.0.0 --port=8888 --no-browser
+    ```
+* Quit the server via `ctrl-c` in the terminal
+* Enter `deactivate` to exit the Poetry virtual environment
+
+### Docker
+* Customize the `.env.example` and rename to `.env`
+* General commands
+    ```bash
+    # build image locally
+    docker-compose build --pull --no-cache
+
+    # start container
+    docker-compose up -d
+
+    # stop container
+    docker-compose stop
+
+    # remove container and network
+    docker-compose down
+    ```
+
+### Both
+* Open a browser and navigate to `http://127.0.0.1:8888`
+  * Docker uses the token specified in `.env`
+* Select the "python3.10.7" kernel if asked
+* Open `refactor-wine-quality.ipynb` from the left-hand column
+* Run cells by selecting them and pressing `shift-enter`
+
+## TODO
+* Get Jupyter working in [VSCode](https://github.com/microsoft/vscode-jupyter)
+* `Makefile`
+
+## Further Reading
+[Original Repo](https://github.com/pythoninthegrass/wine_quality)
+
+[Starting JupyterLab](https://jupyterlab.readthedocs.io/en/stable/getting_started/starting.html)
+
+[Jupyter Docker Stacks — Docker Stacks documentation](https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html)
+
+[Dockerizing Jupyter Projects](https://towardsdatascience.com/dockerizing-jupyter-projects-39aad547484a)