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We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%
Donald Knuth
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Donald Knuth
Age: 86
Born: 1938
Born: January 10
Academic
Computer Scientist
Engineer
Historian Of Mathematics
Mathematician
Programmer
University Teacher
Writer
Milwaukee City
Wisconsin
Donald E. Knuth
Don Knuth
Donald Ervin Knuth
D.E.K.
DEK
Knuth
Time
Opportunities
Critical
Pass
Efficiencies
Roots
Optimization
Small
Debugging
Forget
Premature
Evil
Efficiency
Opportunity
Root
More quotes by Donald Knuth
People who are more than casually interested in computers should have at least some idea of what the underlying hardware is like. Otherwise the programs they write will be pretty weird.
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I try to learn certain areas of computer science exhaustively then I try to digest that knowledge into a form that is accessible to people who don't have time for such study.
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How can you own numbers? Numbers belong to the world.
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The best theory is inspired by practice.
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I can’t go to a restaurant and order food because I keep looking at the fonts on the menu.
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Random numbers should not be generated with a method chosen at random
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I define UNIX as 30 definitions of regular expressions living under one roof.
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The manuals we got from IBM would show examples of programs and I knew I could do a heck of a lot better than that. So I thought I might have some talent.
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There's ways to amuse yourself while doing things and thats how I look at efficency.
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The sun comes up just about as often as it goes down, in the long run, but this doesn't make its motion random.
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We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil.
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Meta-design is much more difficult than design it's easier to draw something than to explain how to draw it.
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Any inaccuracies in this index may be explained by the fact that it has been prepared with the help of a computer.
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The designer of a new kind of system must participate fully in the implementation.
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People think that computer science is the art of geniuses but the actual reality is the opposite, just many people doing things that build on each other, like a wall of mini stones.
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Beware of bugs in the above code I have only proved it correct, not tried it.
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I'm obsessively detail-oriented.
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I've never been a good estimator of how long things are going to take.
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A list is only as strong as its weakest link.
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AI has by now succeeded in doing essentially everything that requires 'thinking' but has failed to do most of what people and animals do 'without thinking'-that, somehow, is much harder.
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