Make this tutorial a template for new Algorithms

[wildintellect]

Users have been asking for an easier way to start a new algorithm. I enabled the github Template option to make it easier for users to start from this code on their own projects.
What's already covered:

• env via conda yaml
• build script that calls conda yaml
• passing an argument in the DPS call to the shell script then to the actual script $1

However, this repo is short a few things:

• The Readme doesn't show how to update/register an algorithm with code
• There is no "driver" notebook for submitting jobs
• (Optional) and Rscript/R env example
• Reference back to the tutorial in the docs that explains how to monitor your job and check results

[wildintellect]

conda env name of python might be confusing - do we want users to update/modify the existing or is best practice to build a fresh env?

[rtapella]

I think this is evolving pretty rapidly right now... we went from "fresh" to "update" and I think soon it'll be back to "fresh" when we use the "plain" base image. So... at least for now I will leave it but I imagine it'll change soon.

[rtapella]

• Driver notebook is in progress but needs to be updated to refer to the dps_tutorial specifically
• Yes, missing non-python options for sure
• I am torn on the README... one issue we had initially is that the README and the Tutorial doc were diverging slightly so I think I ended up simplifying the README
• I think it's a great idea to have some sort of template that people can start with... it is kind of where this was headed but by making a Git Template it makes it a "complete" package that's easier to take off the shelf instead of separate templates

[rtapella]

DPS Tutorial updates cross-ref: MAAP-Project/maap-documentation#411

[rtapella]

re: conda env also see: MAAP-Project/maap-documentation#409

[wildintellect]

I'm just suggesting the Readme link to the docs.

[rtapella]

Okay sounds good. Thanks for all the suggestions and notes.