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Learning Quotes

“Another effective [debugging] technique is to explain your code to someone else. This will often cause you to explain the bug to yourself. Sometimes it takes no more than a few sentences, followed by an embarrassed "Never mind, I see what's wrong. Sorry to bother you." This works remarkably well; you can even use non-programmers as listeners. One university computer center kept a teddy bear near the help desk. Students with mysterious bugs were required to explain them to the bear before they could speak to a human counselor.”

MindHumansWellsSometimesHelpingUseSpeakCausesLearningStudentsBearsComputerSorryUniversitySentencesTechniqueMysteriousCodeBotherProgrammingDesksListenersEmbarrassedBugsProgrammersTeddyCounselorTeddy BearDebugging
Author:Brian Kernighan
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“...methods are more important than facts. The educational value of a problem given to a student depends mostly on how often the thought processes that are invoked to solve it will be helpful in later situations. It has little to do with how useful the answer to the problem may be. On the other hand, a good problem must also motivate the students; they should be interested in seeing the answer. Since students differ so greatly, I cannot expect everyone to like the problems that please me.”

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Author:Donald Knuth
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“...One of the most important lessons, perhaps, is the fact that SOFTWARE IS HARD. From now on I shall have significantly greater respect for every successful software tool that I encounter. During the past decade I was surprised to learn that the writing of programs for TeX and Metafont proved to be much more difficult than all the other things I had done (like proving theorems or writing books). The creation of good software demand a significiantly higher standard of accuracy than those other things do, and it requires a longer attention span than other intellectual tasks.”

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Author:Donald Knuth
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“When certain concepts of TeX are introduced informally, general rules will be stated; afterwards you will find that the rules aren't strictly true. In general, the later chapters contain more reliable information than the earlier ones do. The author feels that this technique of deliberate lying will actually make it easier for you to learn the ideas. Once you understand a simple but false rule, it will not be hard to supplement that rule with its exceptions.”

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Author:Donald Knuth
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“There is a race between the increasing complexity of the systems we build and our ability to develop intellectual tools for understanding their complexity. If the race is won by our tools, then systems will eventually become easier to use and more reliable. If not, they will continue to become harder to use and less reliable for all but a relatively small set of common tasks. Given how hard thinking is, if those intellectual tools are to succeed, they will have to substitute calculation for thought.”

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Author:Leslie Lamport
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“We think only through the medium of words. Languages are true analytical methods. Algebra, which is adapted to its purpose in every species of expression, in the most simple, most exact, and best manner possible, is at the same time a language and an analytical method. The art of reasoning is nothing more than a language well arranged.”

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Author:Antoine Lavoisier
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“Composing computer programs to solve scientific problems is like writing poetry. You must choose every word with care and link it with the other words in perfect syntax. There is no place for verbosity or carelessness. To become fluent in a computer lnaguage demands almost the antithesis of modern loose thinking. It requires many interactive sessions, the hands-on use of the device. You do not learn a foreign language from a book, rather you have to live in the country for year to let the langauge become an automatic part of you, and the same is true for computer languages.”

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Author:James Lovelock
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“My basic idea is that programming is the most powerful medium of developing the sophisticated and rigorous thinking needed for mathematics, for grammar, for physics, for statistics, for all the "hard" subjects.... In short, I believe more than ever that programming should be a key part of the intellectual development of people growing up.”

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Author:Seymour Papert
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“The discipline of programming is most like sorcery. Both use precise language to instruct inanimate objects to do our bidding. Small mistakes in programs or spells can lead to completely unforseen behavior: e.g., see the story, "The Sorcerer's Apprentice". Neither study is easy: "...her [Galinda's] early appetite for sorcery had waned once she'd heard what a grind it was to learn spells and, worse, to understand them." from the book "Wicked" by G. Maguire.”

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Author:Richard E. Pattis
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“When building a complex system, having crackerjack programmers (who can make any design work, even a bad one) can be a liability. The result, after lots of effort, is a working system that cannot be easily maintained or upgraded. Good -but not great- programmers would fail early, causing a realization that the system must be redesigned, and then reimplemented. The extra cost is paid once, early in the system's cycle (when it is cheap), instead of repeatedly paid late in the system's cycle (when it is more expensive).”

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Author:Richard E. Pattis
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“I think that it's extraordinarily important that we in computer science keep fun in computing. When it started out, it was an awful lot of fun. Of course, the paying customers got shafted every now and then, and after a while we began to take their complaints seriously. We began to feel as if we really were responsible for the successful, error-free perfect use of these machines. I don't think we are. I think we're responsible for stretching them, setting them off in new directions, and keeping fun in the house. I hope the field of computer science never loses its sense of fun.”

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Author:Alan Perlis
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“Gates has always understood Moore's Law better than anyone else in the industry. If you can make something run at all, get it out there -it may be slow and clunky, but hardware improvements will bail you out. If you wait until it's running perfectly on the hardware already in the field, it will be obsolete before it's released. This philosophy built Microsoft and is the main reason Microsoft won the war IBM declared back in the OS/2 days.”

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Author:Jerry Pournelle
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“Questions are the important thing, answers are less important. Learning to ask a good question is the heart of intelligence. Learning the answer-well, answers are for students. Questions are for thinkers.”

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Book:The Connoisseur's Guide to the Mind: How We Think, How We Learn, and What It Means to Be Intelligent
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“There is one very good reason to learn programming, but it has nothing to do with preparing for high-tech careers or with making sure one is computer literate in order to avoid being cynically manipulated by the computers of the future. The real value of learning to program can only be understood if we look at learning to program as an exercise of the intellect, as a kind of modern-day Latin that we learn to sharpen our minds.”

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Book:The cognitive computer: on language, learning, and artificial intelligence
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“EMACS could not have been reached by a process of careful design, because such processes arrive only at goals which are visible at the outset, and whose desirability is established on the bottom line at the outset. Neither I nor anyone else visualized an extensible editor until I had made one, nor appreciated its value until he had experienced it. EMACS exists because I felt free to make individually useful small improvements on a path whose end was not in sight.”

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Author:Richard Stallman
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“In engineering, as in other creative arts, we must learn to do analysis to support our efforts in synthesis. One cannot build a beautiful and functional bridge without a knowledge of steel and dirt, and a considerable mathematical technique for using this knowledge to compute the properties of structures. Similarly, one cannot build a beautiful computer system without a deep understanding of how to "previsualize" the process generated by the code one writes.”

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Author:Gerald Jay Sussman
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“Newton was a genius, but not because of the superior computational power of his brain. Newton's genius was, on the contrary, his ability to simplify, idealize, and streamline the world so that it became, in some measure, tractable to the brains of perfectly ordinary men.”

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Book:An Introduction to General Systems Thinking
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