redraft #2

1 files changed, 6 insertions, 6 deletions

diff --git a/thesis/parts/introduction.tex b/thesis/parts/introduction.tex
index e24abea..c9661e9 100644
--- a/thesis/parts/introduction.tex
+++ b/thesis/parts/introduction.tex
@@ -3,16 +3,16 @@
 
 %% **** Container types common in programs
 
-Almost every program makes extensive use of container data structures -- structures which hold a collection of values.
-Often, programmers will have some requirements they want to impose on this collection, such as not storing duplicate elements, or storing the items in sorted order.
+Almost every program makes extensive use of container data types -- structures which hold a collection of values.
+Often, programmers will also have some requirements they want to impose on this collection, such as not storing duplicate elements, or storing the items in sorted order.
 
 %% **** Functionally identical implementations
-However, implementing these collection types manually wastes time, and can be hard to do right for more complicated structures.
-Most programmers will simply use one or two of the collection types provided by their language.
-Some languages, such as Python, go a step further, providing built-in implementations of growable lists and associative maps, with special syntax for both.
+However, implementing these collection types wastes time, and can be hard to do right for more complicated structures.
+Most programmers will instead use one or two of the collection types provided by their language.
+Some languages, such as Python, go a step further, providing built-in implementations of common data structures, with special syntax and handling.
 
 %% **** Large difference in performance
-Unfortunately, the underlying implementation of container types which function the same can have a drastic effect on performance (\cite{l_liu_perflint_2009}, \cite{jung_brainy_2011}).
+However, the underlying implementation of container types which function the same can have a drastic effect on performance (\cite{l_liu_perflint_2009}, \cite{jung_brainy_2011}).
 By largely ignoring the performance characteristics of their implementation, programmers may be missing out on large performance gains.
 
 %% *** Motivate w/ effectiveness claims