Best 93 quotes in «computer science quotes» category

If you are too lazy to cleanup your database after testing, your filesystem after testing or your memory based system consider moving to a different profession. This isn't a job for you.

If the brain had a native language we would be able to communicate with all humans without translation. Or even all other creatures on earth.

I hope the field of computer science never loses its sense of fun. ... What you know about computing other people will learn. Don’t feel as if the key to successful computing is only in your hands. What’s in your hands I think and hope is intelligence: the ability to see the machine as more than when you were first led up to it, that you can make it more.

Index design is also a largely iterative process, based on the SQL generated by application designers. However, it is possible to make a sensible start by building indexes that enforce primary key constraints and indexes on known access patterns, such as a person's name. As the application evolves and testing is performed on realistic sizes of data, certain queries will need performance improvements for which building a better index is a good solution.

It can be argued that the computer is humanity’s attempt to replicate the human brain. This is perhaps an unattainable goal. However, unattainable goals often lead to outstanding accomplishment.

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. Above all I hope we don’t become missionaries. Don’t feel as if you’re Bible sales-men. The world has too many of those already. What you know about computing other people will learn. Don’t feel as if the key to successful computing is only in your hands. What’s in your hands I think and hope is intelligence: the ability to see the machine as more than when you were first led up to it that you can make it more.

Ich langte in meine Tasche nach einem Milky Way - was sonst für einen Astronomen - und machte es mir bequem, um den Hacker auf meinem grünen Monitor zu beobachten.

...if you aren't, at any given time, scandalized by code you wrote five or even three years ago, you're not learning anywhere near enough

Il fattore umano è l'anello più debole della sicurezza

I’m glad someone’s finally giving ed the attention it deserves.

In my experience, requirements change quite often, or new situations will arise that weren’t anticipated at the start of the project. If the situation can be addressed with a plugin, I just whip open the standalone plugin page, make the updates and pop the new plugin back in. Because the plugin is self-contained, it’s easy to recreate the problem, fix it, and get it back into the codebase.

In search," Urs (Hölzle) believed, "the discussion was really, How can we outdistance our current system and make it look laughable? That's the best definition of success: if a new system comes out and everyone says, 'Wow, I can't believe we put up with that old thing because it was so primitive and limited compared to this.

In the end, it all comes down to 0 and 1

Lilah did little more than sleep and eat and cry, which to me was the most fascinating thing in the entire universe. Why did she cry? When did she sleep? What made her eat a lot one day and little the next? Was she changing with time? I did what any obsessed person would do in such a case: I recorded data, plotted it, calculated statistical correlations. First I just wrote on scraps of paper and made charts on graph paper, but I very quickly became more sophisticated. I wrote computer software to make a beautifully colored plot showing times when Diane fed Lilah, in black; when I fed her, in blue (expressed mother's milk, if you must know); Lilah's fussy times, in angry red; her happy times, in green. I calculated patterns in sleeping times, eating times, length of sleep, amounts eaten. Then, I did what any obsessed person would do these days; I put it all on the Web.

In the history of ideas, it's repeatedly happened that an idea, developed in one area for one purpose, finds an unexpected application elsewhere. Concepts developed purely for philosophy of mathematics turned out to be just what you needed to build a computer. Statistical formulae for understanding genetic change in biology are now applied in both economics and in programming.

I was transformed...because I caught a glimpse of a revolutionary use for computers. We seized the opportunity to the computer as a general processor for symbols (hence thoughts) rather than just a speedy engine for arithmetic.

I wish to add my mite towards expounding & interpreting the Almighty, & his laws & works, for the most effective use of mankind; and certainly, I should feel it no small glory if I were enabled to be one of his most noted prophets (using this word in my own peculiar sense) in this world.

It is possible to invent a single machine which can be used to compute any computable sequence.

No program can say what another will do. Now, I won’t just assert that, I’ll prove it to you. I will prove that although you might work till you drop, You cannot tell if computation will stop.

More importantly, it is difficult to study minds because we are mental beings. We have our own minds to maintain and protect, and may not wish to discover facts that force us to change, or make us question our own being in the world, or conflict with our sense of right and wrong. We have not discussed belief systems known as religions to any extent in this book. However, particularly threatening are facts that run counter to our religious beliefs, especially if those beliefs are strongly held. Further, scientists have hopes, standards, and ethical beliefs, and they—like anybody—are not eager to find that their beliefs are invalid.

Most improved things can be improved.

Overstimulation has been the real drawback. I need to find ways to stop thinking about analysis of algorithms, in order to do various other things that human beings ought to do.

Perhaps the most important principle for the good algorithm designer is to refuse to be content.

Reusability is key in reducing bugs and coding quickly. The more I use a piece of code, the more confident and familiar I become with it, which in turn significantly speeds up my development time.

Simple things should be simple, complex things should be possible.

Q: Why bother doing proofs about programming languages? They are almost always boring if the definitions are right. A: The definitions are almost always wrong. - Anonymous

Seemingly innocuous language like 'Oh, I'm flexible' or 'What do you want to do tonight?' has a dark computational underbelly that should make you think twice. It has the veneer of kindness about it, but it does two deeply alarming things. First, it passes the cognitive buck: 'Here's a problem, you handle it.' Second, by not stating your preferences, it invites the others to simulate or imagine them. And as we have seen, the simulation of the minds of others is one of the biggest computational challenges a mind (or machine) can ever face.

Simply In Depth......

The most important property of a program is whether it accomplishes the intention of its user.

The business we're in is more sociological than technological, more dependent on workers' abilities to communicate with each other than their abilities to communicate with machines.

The component structure cannot be designed from the top down. It is not one of the first things about the system that is designed, but rather evolves as the system grows and changes.

The computer only gives back ourselves. It is a faithful mirror that reflects the human traits that are brought to it.

The DQN AI system of Google DeepMind can accomplish a slightly broader range of goals: it can play dozens of different vintage Atari computer games at human level or better. In contrast, human intelligence is thus far uniquely broad, able to master a dazzling panoply of skills. A healthy child given enough training time can get fairly good not only at any game, but also at any language, sport or vocation. Comparing the intelligence of humans and machines today, we humans win hands-down on breadth, while machines outperform us in a small but growing number of narrow domains, as illustrated in figure 2.1. The holy grail AI research is to build “general AI” (better known as artificial general intelligence, AGI) that is maximally broad: able to accomplish virtually any goal, including learning.

Suppose whatever we can recognize we can find. We can if P=NP.

Tests are stories we tell the next generation of programmers on a project.

The clarity offered by software as metaphor - and the empowerment allegedly offered to us who know software - should make us pause, because software also engenders a sense of profound ignorance. Software is extremely difficult to comprehend. Who really knows what lurks behind our smiling interfaces, behind the objects we click and manipulate? Who completely understands what one’s computer is actually doing at any given moment? Software as a metaphor for metaphor troubles the usual functioning of metaphor, that is, the clarification of an unknown concept through a known one. For, if software illuminates an unknown, it does so through an unknowable (software). This paradox - this drive to grasp what we do not know through what we do not entirely understand… does not undermine, but rather grounds software’s appeal. Its combination of what can be seen and not seen, can be known and no known - it’s separation of interface from algorithm, of software from hardware - makes it a powerful metaphor for everything we believe is invisible yet generates visible effects, from genetics to the invisible hand of the market, from ideology to culture. Every use entails an act of faith.

The cost of electrons and photons is getting cheaper all the time!

The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.

The ocean is a Turing machine, the sand is its tape; the water reads the marks in the sand and sometimes erases them and sometimes carves new ones with tiny currents that are themselves a response to the marks.

There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors.

The spectacle's instruction and the spectators' ignorance are wrongly seen as antagonistic factors when in fact they give birth to each other. In the same way, the computer's binary language is an irresistible inducement to the continual and unreserved acceptance of what has been programmed according to the wishes of someone else and passes for the timeless source of a superior, impartial and total logic. Such progress, such speed, such breadth of vocabulary! Political? Social? Make your choice. You cannot have both. My own choice is inescapable. They are jeering at us, and we know whom these programs are for. Thus it is hardly surprising that children should enthusiastically start their education at an early age with the Absolute Knowledge of computer science; while they are still unable to read, for reading demands making judgements at every line; and is the only access to the wealth of pre-spectacular human experience. Conversation is almost dead, and soon so too will be those who knew how to speak.

The string is a stark data structure and everywhere it is passed there is much duplication of process. It is a perfect vehicle for hiding information.

The great paradox of automation is that the desire to eliminate human labor always generates new tasks for humans.

The silicon microchips themselves might be cheap (relative to times past, anyway), but CPU cycles are not cheap. Every CPU cycle consumes clock time. Clock time is latency. A wasteful application makes its users wait longer than they need to, and if there’s anything users hate, it’s waiting. For web systems, latency in the application has a dual effect. The added processing directly increases the burden on the application servers themselves. Suppose that an application takes just 250 milliseconds of extra processing per transaction. If the system processes a million transactions a day, that extra 250 milliseconds per transaction makes for an extra 69.4 hours of compute time every day. Assuming an 80% load factor on each server, you’ll need four additional servers to handle this load.

[The study of prime numbers] becoming pivotal in cryptography and online security. As it happens, it is much easier to multiply primes together than to factor them back out. In modern encryption, secret primes known only to the sender and recipient get multiplied together to create huge composite numbers that can be transmitted publicly without fear, since factoring the product would take eavesdropper way too long to be worth attempting.

The very last stage of any memory hierarchy is necessarily the outside world—that is, the outside world as far as the machine is concerned, i.e. that part of it with which the machine can directly communicate, in other words, the input and the output organs of the machine. These are usually punched paper tapes or cards, and on the output side, of course, also printed paper.

Unix is not so much a product as it is a painstakingly compiled oral history of the hacker subculture. It is our Gilgamesh epic: a living body of narrative that many people know by heart, and tell over and over again—making their own personal embellishments whenever it strikes their fancy. The bad embellishments are shouted down, the good ones picked up by others, polished, improved, and, over time, incorporated into the story. […] Thus Unix has slowly accreted around a simple kernel and acquired a kind of complexity and asymmetry about it that is organic, like the roots of a tree, or the branchings of a coronary artery. Understanding it is more like anatomy than physics.

Ultimately, I try to think of my application’s main codebase as just stringing together various components and code from many sources. It just controls logic and flow. The real nitty-gritty is handled behind the scenes. This is why frameworks like Backbone are so important — they hide a lot of the details in the background and allow you to just focus on the flow and control of your application.

Underlying our approach to this subject is our conviction that "computer science" is not a science and that its significance has little to do with computers. The computer revolution is a revolution in the way we think and in the way we express what we think. The essence of this change is the emergence of what might best be called procedural epistemology—the study of the structure of knowledge from an imperative point of view, as opposed to the more declarative point of view taken by classical mathematical subjects. Mathematics provides a framework for dealing precisely with notions of "what is". Computation provides a framework for dealing precisely with notions of "how to".

What one programmer can do in one month, two programmers can do in two months.