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The lurking suspicion that something could be simplified is the world's richest source of rewarding challenges.
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Program testing can be used to show the presence of bugs, but never to show their absence!
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The use of COBOL cripples the mind; its teaching should, therefore, be regarded as a criminal offense.
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Don't compete with me: firstly, I have more experience, and secondly, I have chosen the weapons.
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There should be no such thing as boring mathematics.
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Perfecting oneself is as much unlearning as it is learning.
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Simplicity is prerequisite for reliability.
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The ability of discerning high quality unavoidably implies the ability of identifying shortcomings.
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The competent programmer is fully aware of the limited size of his own skull. He therefore approaches his task with full humility, and avoids clever tricks like the plague.
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Aim for brevity while avoiding jargon.
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Elegance is not a dispensable luxury but a factor that decides between success and failure.
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I mentioned the non-competitive spirit explicitly, because these days, excellence is a fashionable concept. But excellence is a competitive notion, and that is not what we are heading for: we are heading for perfection.
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About the use of language: it is impossible to sharpen a pencil with a blunt axe. It is equally vain to try to do it with ten blunt axes instead.
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Object-oriented programming is an exceptionally bad idea which could only have originated in California.
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Why has elegance found so little following? That is the reality of it. Elegance has the disadvantage, if that's what it is, that hard work is needed to achieve it and a good education to appreciate it.
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Many mathematicians derive part of their self-esteem by feeling themselves the proud heirs of a long tradition of rational thinking; I am afraid they idealize their cultural ancestors.
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The traditional mathematician recognizes and appreciates mathematical elegance when he sees it. I propose to go one step further, and to consider elegance an essential ingredient of mathematics: if it is clumsy, it is not mathematics.
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If 10 years from now, when you are doing something quick and dirty, you suddenly visualize that I am looking over your shoulders and say to yourself: 'Dijkstra would not have liked this', well that would be enough immortality for me.
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Teaching to unsuspecting youngsters the effective use of formal methods is one of the joys of life because it is so extremely rewarding.
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Programming is one of the most difficult branches of applied mathematics; the poorer mathematicians had better remain pure mathematicians.
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APL is a mistake, carried through to perfection. It is the language of the future for the programming techniques of the past: it creates a new generation of coding bums.
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Computer science is no more about computers than astronomy is about telescopes.
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It is practically impossible to teach good programming to students that have had a prior exposure to BASIC: as potential programmers they are mentally mutilated beyond hope of regeneration.
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Mathematicians are like managers - they want improvement without change.