Merge pull request braydie#13 from adrianmann/master

Removed the word 'is'.

Author: braydie

1-Beginner/Personal-Skills/08-How to Deal with IO Expense.md

@@ -2,7 +2,7 @@
 
 For a lot of problems, processors are fast compared to the cost of communicating with a hardware device. This cost is usually abbreviated I/O, and can include network cost, disk I/O, database queries, file I/O, and other use of some hardware not very close to the processor. Therefore building a fast system is often more a question of improving I/O than improving the code in some tight loop, or even improving an algorithm.
 
-There are two very fundamental techniques to improving I/O: caching and representation. Caching is avoiding I/O (generally avoiding the reading of some abstract value) by storing a copy of that value locally so no I/O is performed to get the value. The first key to caching is to make it crystal clear which data is the master and which are copies. There is only one master - period. Caching brings with it the danger that the copy is sometimes can't reflect changes to the master instantaneously.
+There are two very fundamental techniques to improving I/O: caching and representation. Caching is avoiding I/O (generally avoiding the reading of some abstract value) by storing a copy of that value locally so no I/O is performed to get the value. The first key to caching is to make it crystal clear which data is the master and which are copies. There is only one master - period. Caching brings with it the danger that the copy sometimes can't reflect changes to the master instantaneously.
 
 Representation is the approach of making I/O cheaper by representing data more efficiently. This is often in tension with other demands, like human readability and portability.