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The following 3 maxims are attributed to Tony Hoare, Ken Thompson, and Fred Brooks, respectively. The 5 rules (distributed under the maxims) are attributed to Rob Pike.
Premature optimization is the root of all evil
You can't tell where a program is going to spend its time. Bottlenecks occur in surprising places, so don't try to second guess and put in a speed hack until you've proven that's where the bottleneck is.
Measure. Don't tune for speed until you've measured, and even then don't unless one part of the code overwhelms the rest.
When in doubt, use brute force
Fancy algorithms are slow when n is small, and n is usually small. Fancy algorithms have big constants. Until you know that n is frequently going to be big, don't get fancy. (Even if n does get big, use Rule 2 first.)
Fancy algorithms are buggier than simple ones, and they're much harder to implement. Use simple algorithms as well as simple data structures.
Write stupid code that uses smart objects
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
The text was updated successfully, but these errors were encountered:
The following 3 maxims are attributed to Tony Hoare, Ken Thompson, and Fred Brooks, respectively. The 5 rules (distributed under the maxims) are attributed to Rob Pike.
Premature optimization is the root of all evil
You can't tell where a program is going to spend its time. Bottlenecks occur in surprising places, so don't try to second guess and put in a speed hack until you've proven that's where the bottleneck is.
Measure. Don't tune for speed until you've measured, and even then don't unless one part of the code overwhelms the rest.
When in doubt, use brute force
Fancy algorithms are slow when n is small, and n is usually small. Fancy algorithms have big constants. Until you know that n is frequently going to be big, don't get fancy. (Even if n does get big, use Rule 2 first.)
Fancy algorithms are buggier than simple ones, and they're much harder to implement. Use simple algorithms as well as simple data structures.
Write stupid code that uses smart objects
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
The text was updated successfully, but these errors were encountered: