Improve code comments

1 files changed, 10 insertions, 8 deletions

diff --git a/d.html.markdown b/d.html.markdown
index 80c1dc65..4a362372 100644
--- a/d.html.markdown
+++ b/d.html.markdown
@@ -218,7 +218,7 @@ void main() {
     // from 1 to 100. Easy!
 
     // Just pass lambda expressions as template parameters!
-    // You can pass any old function you like, but lambdas are convenient here.
+    // You can pass any function you like, but lambdas are convenient here.
     auto num = iota(1, 101).filter!(x => x % 2 == 0)
                            .map!(y => y ^^ 2)
                            .reduce!((a, b) => a + b);
@@ -228,7 +228,7 @@ void main() {
 ```
 
 Notice how we got to build a nice Haskellian pipeline to compute num?
-That's thanks to a D innovation know as Uniform Function Call Syntax.
+That's thanks to a D innovation know as Uniform Function Call Syntax (UFCS).
 With UFCS, we can choose whether to write a function call as a method
 or free function call! Walter wrote a nice article on this
 [here.](http://www.drdobbs.com/cpp/uniform-function-call-syntax/232700394)
@@ -238,21 +238,23 @@ is of some type A on any expression of type A as a method.
 I like parallelism. Anyone else like parallelism? Sure you do. Let's do some!
 
 ```c
+// Let's say we want to populate a large array with the square root of all
+// consecutive integers starting from 1 (up until the size of the array), and we
+// want to do this concurrently taking advantage of as many cores as we have
+// available.
+
 import std.stdio;
 import std.parallelism : parallel;
 import std.math : sqrt;
 
 void main() {
-    // We want take the square root every number in our array,
-    // and take advantage of as many cores as we have available.
+    // Create your large array
     auto arr = new double[1_000_000];
 
-    // Use an index, and an array element by referece,
-    // and just call parallel on the array!
+    // Use an index, access every array element by reference (because we're
+    // going to change each element) and just call parallel on the array!
     foreach(i, ref elem; parallel(arr)) {
         ref = sqrt(i + 1.0);
     }
 }
-
-
 ```