Edsger Dijkstra
Edsger Dijkstra
Edsger Wybe Dijkstra; 11 May 1930 – 6 August 2002) was a Dutch computer scientist. A theoretical physicist by training, he worked as a programmer at the Mathematisch Centrumfrom 1952 to 1962. He was a professor of mathematics at the Eindhoven University of Technologyand a research fellow at the Burroughs Corporation. He held the Schlumberger Centennial Chair in Computer Sciences at the University of Texas at Austin from 1984 until 1999, and retired as Professor Emeritus in 1999...
Edsger Dijkstra quotes about
technology thinking swim
The question of whether computers can think is like the question of whether submarines can swim.
hard-work reality appreciate
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.
dirty mean years
I mean, 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.
competition weapons chosen
Don't compete with me: firstly, I have more experience, and secondly, I have chosen the weapons.
brain damage causes
Programming in Basic causes brain damage.
writing order paper
Write a paper promising salvation, make it a structured something or a virtual something, or abstract, distributed or higher-order or applicative and you can almost be certain of having started a new cult.
behind-you depth blame
If in physics there's something you don't understand, you can always hide behind the uncharted depths of nature. You can always blame God. You didn't make it so complex yourself. But if your program doesn't work, there is no one to hide behind. You cannot hide behind an obstinate nature. If it doesn't work, you've messed up.
learning osmosis design
Yes, I share your concern: how to program well -though a teachable topic- is hardly taught. The situation is similar to that in mathematics, where the explicit curriculum is confined to mathematical results; how to do mathematics is something the student must absorb by osmosis, so to speak. One reason for preferring symbol-manipulating, calculating arguments is that their design is much better teachable than the design of verbal/pictorial arguments. Large-scale introduction of courses on such calculational methodology, however, would encounter unsurmoutable political problems.
mean learning thinking
We are all shaped by the tools we use, in particular: the formalisms we use shape our thinking habits, for better or for worse, and that means that we have to be very careful in the choice of what we learn and teach, for unlearning is not really possible.
challenges intellectual culture
In their capacity as a tool, computers will be but a ripple on the surface of our culture. In their capacity as intellectual challenge, they are without precedent in the cultural history of mankind.
perfection excellence spirit
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.
challenges world source
The lurking suspicion that something could be simplified is the world's richest source of rewarding challenges.
mean understanding doe
Experience does by no means automatically leads to wisdom and understanding.
powerful code-quality bells
Are you quite sure that all those bells and whistles, all those wonderful facilities of your so called powerful programming languages, belong to the solution set rather than the problem set?