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
learning ideas california
Object-oriented programming is an exceptionally bad idea which could only have originated in California.
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.
learning thinking profound
A most important, but also most elusive, aspect of any tool is its influence on the habits of those who train themselves in its use. If the tool is a programming language this influence is, whether we like it or not, an influence on our thinking habits.... A programming language is a tool that has profound influence on our thinking habits.
learning simple attention
John von Neumann draws attention to what seemed to him a contrast. He remarked that for simple mechanisms, it is often easier to describe how they work than what they do, while for more complicated mechanisms, it is usually the other way around.
wise learning space
...our intellectual powers are rather geared to master static relations and that our powers to visualize processes evolving in time are relatively poorly developed. For that reason we should do (as wise programmers aware of our limitations) our utmost to shorten the conceptual gap between the static program and the dynamic process, to make the correspondence between the program (spread out in text space) and the process (spread out in time) as trivial as possible.
learning mastery tongue
Besides a mathematical inclination, an exceptionally good mastery of one's native tongue is the most vital asset of a competent programmer.
excitement knows
Much of the excitement we get out of our work is that we don't really know what we are doing.
computer question submarine whether
The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.
clever humility skulls
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.
today bugs sticks
In the good old days physicists repeated each other's experiments, just to be sure. Today they stick to FORTRAN, so that they can share each other's programs, bugs included.
thinking profound tools
The tools we use have a profound and devious influence on our thinking habits, and therefore on our thinking abilities.
students impossible programming
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.
appreciation jobs humble
We shall do a much better programming job, provided that we approach the task with a full appreciation of its tremendous difficulty, provided that we stick to modest and elegant programming languages, provided that we respect the intrinsic limitations of the human mind and approach the task as Very Humble Programmers.