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The designer of a new kind of system must participate fully in the implementation.

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
Kind
Implementation
Participate
Software
Designer
Fully
Design
System
Must

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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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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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It is much more rewarding to do more with less.
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A list is only as strong as its weakest link.
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I decry the current tendency to seek patents on algorithms. There are better ways to earn a living than to prevent other people from making use of one's contributions to computer science.
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Random numbers should not be generated with a method chosen at random
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My first program taught me a lot about the errors that I was going to be making in the future, and also about how to find errors. That's sort of the story of my life, making errors and trying to recover from them. I try to get things correct. I probably obsess about not making too many mistakes.
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By understanding a machine-oriented language, the programmer will tend to use a much more efficient method it is much closer to reality.
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The enjoyment of one's tools is an essential ingredient of successful work.
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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%
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Computers are good at following instructions, but not at reading your mind.
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How can you own numbers? Numbers belong to the world.
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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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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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Science is what we understand well enough to explain to a computer. Art is everything else we do.
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There's ways to amuse yourself while doing things and thats how I look at efficency.
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I have a hunch that the unknown sequences of DNA will decode into copyright notices and patent protections.
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If you find that you're spending almost all your time on theory, start turning some attention to practical things it will improve your theories. If you find that you're spending almost all your time on practice, start turning some attention to theoretical things it will improve your practice.
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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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An algorithm must be seen to be believed.
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