Make the project runnable on checkout

[dgunning]

We want to make sure that the project is runnable when checked out. So add or change the required python files to allow a new user to checkout the project.

To run the project will need a test script or notebook although the preference is to make notebooks primary

[dgunning]

Since we might want to use pyviz it might cause an issue since pyviz works with conda and not that well with pip.

Make it an optional dependency?

https://pyviz.org/installation.html

[dgunning]

Test that we can run the project on checkout using these instructions

https://github.com/ocan-data/OpenCanadaData/blob/master/conda-environments.md

[Oadegbite]

The canadadataml.yml and canadadata.yml work and I was able to both create environments and Jupyter Kernels.

I had issues with canadadataviz.yml

tomi@tomi-Fenix ~/S/OpenCanadaData> conda env create -f canadadataviz.yml Collecting package metadata: done Solving environment: failed

UnsatisfiableError: The following specifications were found to be in conflict:

• python=3.7.0
• pyviz Use "conda search --info" to see the dependencies for each package.

[dgunning]

Ok .. PyViz requires Python 3.6 https://pyviz.org/installation.html. I'll change this .. since you aren't really going hard into visualization just now - I think you were going to do ML.

Can you also update? conda env update -f ocandata.yml

One a side note I've found out that if we add a dependency to the yml file, and update the conda environment using conda env update -f ocandata.yml we should also refresh the Jupyter kernel so the new library shows up in Jupyter python -m ipykernel install --user --name ocandata --display-name ocandata

I will blog about this and maybe create test cases. My future workflow will be just

1. Add or update the yml file
2. Run a script to update the conda env and refresh Jupyter kernel