Azure Machine Learning (ML) error: argument "env" is missing, with no default

Starting into machine learning today using Azure's video tutorials. They are a good start, but the documentation is a bit old. A few of the pieces are now renamed or replaced but generally show up well in search even if 'deprecated.'
One huge stopping point I ran into was in the deployment of web services via steps 4 and 5 of their videos. Everything 'looks' like it works fine, until you reach the testing interface. If you've followed their steps you'll come across this error:

OData criteria encoding and "'Edm.Boolean' are not compatible" issues

Did some work today with an OData system. Making an number of mistakes along the way, everything seemed normal, until I got to the this error message:
- "The types 'Edm.Boolean' and 'Edm.String' are not compatible."

It seemed to persist almost no matter what. The solution if you're here banging your head against the wall is pretty simple, if frustrating.

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Sample NPM package.json for Drupal

I've recently started to dump build tools. The abstractions just aren't needed, and add complexity in some cases. To that end, I'm nearly doing all my asset management in package.json with NPM scripts. For existing sites I'm maintaining, I can use this as a simple drop in to help get started. It may require a little modification site to site, depending on if you need to ignore certain themes, or modules. But, I think the base package here is clear enough you'll be able to replicate the pieces required.

An example converting angular 1.5 to use RxJS

I've been doing some work recently upgrading massive portions of an angular 1.3 code base in preparation to move to angular 2 (someday). From a high level stand point, here's the what can be done ahead of time to help make it easier when you do go:

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