The universe is already programmed to give each of us a year of happiness. Our challenge lies in programming ourselves to receive it.
Code never lies, comments sometimes do.
Consciousness is observing your thoughts and actions so that you can live from true choice in the present moment rather than being run by programming from the past.
My particular interest for the past couple of years has been to really think deeply about the big impendence mismatch we have between programming languages, C# in particular, and the database world, like SQL or, for that matter, the XML world, like XQuery and those languages that exist.
Your mind is programmable – if you’re not programming your mind, someone else will program it for you.
Excusing bad programming is a shooting offence, no matter what the circumstances.
If there is ever a science of programming language design, it will probably consist largely of matching languages to the design methods they support.
When you write a program, think of it primarily as a work of literature. You're trying to write something that human beings are going to read. Don't think of it primarily as something a computer is going to follow. The more effective you are at making your program readable, the more effective it's going to be: You'll understand it today, you'll understand it next week, and your successors who are going to maintain and modify it will understand it.
Linear programming can be viewed as part of a great revolutionary development which has given mankind the ability to state general goals and to lay out a path of detailed decisions to take in order to "best" achieve its goals when faced with practical situations of great complexity.
Look, I think liberals have reasonable gripes with Fox News. It does lean to the right, primarily in its opinion programming but also in its story selection (which is fine by me) and elsewhere. But it's worth remembering that Fox is less a bastion of ideological conservatism and more a populist, tabloidy network.
The average person is unaware that he or she is living out a negative destiny according to his or her past (childhood) programming, preserving his or her familiar identity, and, in the process, pushing love away. On an unconscious level, many people sense that if they did not push love away, the whole world, as they have experienced it, would be shattered and they would not know who they were.
The students in your youth ministry don’t need your clever ideas and great programming skills. They need a living model—a man or woman of God who is passionate about his or her faith.
Shifting toward management meant greater responsibility and influence, but it also meant giving up programming day-to-day in my role, which was hard because it took me out of my comfort zone.
You know, I've never accidentally drilled a hole in myself while programming.
I've noticed that just about every time I find a large program with known glitches that no one seems able to fix, that program is written in C and is likely written by a programming team in a remote location.
And C++ programming languages, we own those, have licensed them out multiple times, obviously. We have a lot of royalties coming to us from C++.
C++ is in that inconvenient spot where it doesn't help make things simple enough to be truly usable for prototyping or simple GUI programming, and yet isn't the lean system programming language that C is that actively encourages you to use simple and direct constructs.
Linear programming is viewed as a revolutionary development giving man the ability to state general objectives and to find, by means of the simplex method, optimal policy decisions for a broad class of practical decision problems of great complexity. In the real world, planning tends to be ad hoc because of the many special-interest groups with their multiple objectives.
If the system exhibits a structure which can be represented by a mathematical equivalent, called a mathematical model, and if the objective can be also so quantified, then some computational method may be evolved for choosing the best schedule of actions among alternatives. Such use of mathematical models is termed mathematical programming.
The initial motive for developing APL was to provide a tool for writing and teaching. Although APL has been exploited mostly in commercial programming, I continue to believe that its most important use remains to be exploited: as a simple, precise, executable notation for the teaching of a wide range of subjects.
Most programming languages are decidedly inferior to mathematical notation and are little used as tools of thought in ways that would be considered significant by, say, an applied mathematician.
The properties of executability and universality associated with programming languages can be combined, in a single language, with the well-known properties of mathematical notation which make it such an effective tool of thought.
Overemphasis of efficiency leads to an unfortunate circularity in design: for reasons of efficiency early programming languages reflected the characteristics of the early computers, and each generation of computers reflects the needs of the programming languages of the preceding generation.
Although mathematical notation undoubtedly possesses parsing rules, they are rather loose, sometimes contradictory, and seldom clearly stated. [...] The proliferation of programming languages shows no more uniformity than mathematics. Nevertheless, programming languages do bring a different perspective. [...] Because of their application to a broad range of topics, their strict grammar, and their strict interpretation, programming languages can provide new insights into mathematical notation.
The precision provided (or enforced) by programming languages and their execution can identify lacunas, ambiguities, and other areas of potential confusion in conventional [mathematical] notation.
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