Three articles on D

[data pulverizer]

I was doing research for my next article and decided to write 
three shorter ones in the interim. Two are about basic aspects in 
D and one is a small benchmarking exercise of D math functions.

1. Importing modules & scripts in D. It's much more informative 
than it sounds especially for beginners, and includes all the 
import cases including `mixin(import("script.d"));`  
https://github.com/dataPulverizer/ImportingInD/blob/master/README.md

2. Template basics decomposition and value types: Once you've 
written your first basic template in D, at some point soon 
afterwards you start struggling for how to decompose template 
types and articulate the template pattern you want in order to 
facilitate template auto-inference by the compiler. That's what 
this article helps with: 
https://github.com/dataPulverizer/DTemplatesDecompositionAndValueTypes/blob/master/README.md

3. Benchmarking of mathematical functions in D, `std.math`, vs C 
in core, vs LLVM in LDC_intrinsic: 
https://github.com/dataPulverizer/DMathBench/blob/master/report.md

I look forward to your comments.

Thank you