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Perlis wisdom - written in the '70s

1.	One man's constant is another man's variable.
2.	Functions delay binding: data structures induce binding. Moral: Structure
data late in the programming process.
3.	Syntactic sugar causes cancer of the semi-colons.
4.	Every program is a part of some other program and rarely fits.
5.	If a program manipulates a large amount of data, it does so in a small
number of ways.
6.	Symmetry is a complexity reducing concept (co-routines include
sub-routines); seek it everywhere.
7.	It is easier to write an incorrect program than understand a correct one.
8.	A programming language is low level when its programs require attention
to the irrelevant.
9.	It is better to have 100 functions operate on one data structure than 10
functions on 10 data structures.
10.	Get into a rut early: Do the same processes the same way. Accumulate
idioms. Standardize. The only difference (!) between Shakespeare and you was
the size of his idiom list - not the size of his vocabulary.
11.	If you have a procedure with 10 parameters, you probably missed some.
12.	Recursion is the root of computation since it trades description for
13.	If two people write exactly the same program, each should be put in
micro-code and then they certainly won't be the same.
14.	In the long run every program becomes rococo - then rubble.
15.	Everything should be built top-down, except the first time.
16.	Every program has (at least) two purposes: the one for which it was
written and another for which it wasn't.
17.	If a listener nods his head when you're explaining your program, wake
him up.
18.	A program without a loop and a structured variable isn't worth writing.
19.	A language that doesn't affect the way you think about programming, is
not worth knowing.
20.	Wherever there is modularity there is the potential for
misunderstanding: Hiding information implies a need to check communication.
21.	Optimization hinders evolution.
22.	A good system can't have a weak command language.
23.	To understand a program you must become both the machine and the
24.	Perhaps if we wrote programs from childhood on, as adults we'd be able
to read them.
25.	One can only display complex information in the mind. Like seeing,
movement or flow or alteration of view is more important than the static
picture, no matter how lovely.
26.	There will always be things we wish to say in our programs that in all
known languages can only be said poorly.
27.	Once you understand how to write a program get someone else to write it.
28.	Around computers it is difficult to find the correct unit of time to
measure progress. Some cathedrals took a century to complete. Can you
imagine the grandeur and scope of a program that would take as long?
29.	For systems, the analogue of a face-lift is to add to the control graph
an edge that creates a cycle, not just an additional node.
30.	In programming, everything we do is a special case of something more
general - and often we know it too quickly.
31.	Simplicity does not precede complexity, but follows it.
32.	Programmers are not to be measured by their ingenuity and their logic
but by the completeness of their case analysis.
33.	The 11th commandment was "Thou Shalt Compute" or "Thou Shalt Not
Compute" - I forget which.
34.	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
35.	Everyone can be taught to sculpt: Michelangelo would have had to be
taught how not to. So it is with the great programmers.
36.	The use of a program to prove the 4-color theorem will not change
mathematics - it merely demonstrates that the theorem, a challenge for a
century, is probably not important to mathematics.
37.	The most important computer is the one that rages in our skulls and ever
seeks that satisfactory external emulator. The standardization of real
computers would be a disaster - and so it probably won't happen.
38.	Structured Programming supports the law of the excluded muddle.
39.	Re graphics: A picture is worth 10K words - but only those to describe
the picture. Hardly any sets of 10K words can be adequately described with
40.	There are two ways to write error-free programs; only the third one
41.	Some programming languages manage to absorb change, but withstand
42.	You can measure a programmer's perspective by noting his attitude on the
continuing vitality of FORTRAN.
43.	In software systems it is often the early bird that makes the worm.
44.	Sometimes I think the only universal in the computing field is the
45.	The goal of computation is the emulation of our synthetic abilities, not
the understanding of our analytic ones.
46.	Like punning, programming is a play on words.
47.	As Will Rogers would have said, "There is no such thing as a free
48.	The best book on programming for the layman is "Alice in Wonderland";
but that's because it's the best book on anything for the layman.
49.	Giving up on assembly language was the apple in our Garden of Eden:
Languages whose use squanders machine cycles are sinful. The LISP machine
now permits LISP programmers to abandon bra and fig-leaf.
50.	When we understand knowledge-based systems, it will be as before -
except our finger-tips will have been singed.
51.	Bringing computers into the home won't change either one, but may
revitalize the corner saloon.
52.	Systems have sub-systems and sub-systems have sub-systems and so on ad
finitum - which is why we're always starting over.
53.	So many good ideas are never heard from again once they embark in a
voyage on the semantic gulf.
54.	Beware of the Turing tar-pit in which everything is possible but nothing
of interest is easy.
55.	A LISP programmer knows the value of everything, but the cost of
56.	Software is under a constant tension. Being symbolic it is arbitrarily
perfectible; but also it is arbitrarily changeable.
57.	It is easier to change the specification to fit the program than vice
58.	Fools ignore complexity. Pragmatists suffer it. Some can avoid it.
Geniuses remove it.
59.	In English every word can be verbed. Would that it were so in our
programming languages.
60.	Dana Scott is the Church of the Lattice-Way Saints.
61.	In programming, as in everything else, to be in error is to be reborn.
62.	In computing, invariants are ephemeral.
63.	When we write programs that "learn", it turns out we do and they don't.
64.	Often it is means that justify ends: Goals advance technique and
technique survives even when goal structures crumble.
65.	Make no mistake about it: Computers process numbers - not symbols. We
measure our understanding (and control) by the extent to which we can
arithmetize an activity.
66.	Making something variable is easy. Controlling duration of constancy is
the trick.
67.	Think of all the psychic energy expended in seeking a fundamental
distinction between "algorithm" and "program".
68.	If we believe in data structures, we must believe in independent (hence
simultaneous) processing. For why else would we collect items within a
structure? Why do we tolerate languages that give us the one without the
69.	In a 5 year period we get one superb programming language. Only we can't
control when the 5 year period will begin.
70.	Over the centuries the Indians developed sign language for communicating
phenomena of interest. Programmers from different tribes (FORTRAN, LISP,
ALGOL, SNOBOL, etc.) could use one that doesn't require them to carry a
blackboard on their ponies.
71.	Documentation is like term insurance: It satisfies because almost no one
who subscribes to it depends on its benefits.
72.	An adequate bootstrap is a contradiction in terms.
73.	It is not a language's weaknesses but its strengths that control the
gradient of its change: Alas, a language never escapes its embryonic sac.
74.	It is possible that software is not like anything else, that it is meant
to be discarded: that the whole point is to always see it as soap bubble?
75.	Because of its vitality, the computing field is always in desperate need
of new cliches: Banality soothes our nerves.
76.	It is the user who should parameterize procedures, not their creators.
77.	The cybernetic exchange between man, computer and algorithm is like a
game of musical chairs: The frantic search for balance always leaves one of
the three standing ill at ease.
78.	If your computer speaks English it was probably made in Japan.
79.	A year spent in artificial intelligence is enough to make one believe in
80.	Prolonged contact with the computer turns mathematicians into clerks and
vice versa.
81.	In computing, turning the obvious into the useful is a living definition
of the word "frustration".
82.	We are on the verge: Today our program proved Fermat's next-to-last
83.	What is the difference between a Turing machine and the modern computer?
It's the same as that between Hillary's ascent of Everest and the
establishment of a Hilton hotel on its peak.
84.	Motto for a research laboratory: What we work on today, others will
first think of tomorrow.
85.	Though the Chinese should adore APL, it's FORTRAN they put their money
86.	We kid ourselves if we think that the ratio of procedure to data in an
active database system can be made arbitrarily small or even kept small.
87.	We have the mini and the microcomputer. In what semantic niche would the
pico computer fall?
88.	It is not the computer's fault that Maxwell's equations are not adequate
to design the electric motor.
89.	One does not learn computing by using a hand calculator, but one can
forget arithmetic.
90.	Computation has made the tree flower.
91.	The computer reminds one of Lon Chaney - it is the machine of a thousand
92.	The computer is the ultimate polluter. Its feces are indistinguishable
from the food it produces.
93.	When someone says "I want a programming language in which I need only
say what I wish done," give him a lollipop.
94.	Interfaces keep things tidy, but don't accelerate growth: Functions do.
95.	Don't have good ideas if you aren't willing to be responsible for them.
96.	Computers don't introduce order anywhere as much as they expose
97.	When a professor insists computer science is X but not Y, have
compassion for his graduate students.
98.	In computing, the mean time to failure keeps getting shorter.
99.	In man-machine symbiosis, it is man who must adjust: The machines can't.
100.	We will never run out of things to program as long as there is a single
program around.
101.	Dealing with failure is easy: Work hard to improve: Success is also
easy to handle: You've solved the wrong problem. Work hard to improve.
102.	One can't proceed from the informal to the formal by formal means.
103.	Purely applicative languages are poorly applicable.
104.	The proof of a system's value is its existence.
105.	You can't communicate complexity, only an awareness of it.
106.	It's difficult to extract sense from strings, but they're the only
communication coin we can count on.
107.	The debate rages on: Is PL/I Bachtrian or Dromedary?
108.	Whenever two programmers meet to criticize their programs, both are
109.	Think of it! With VLSI we can pack 100 ENIACs in 1 sq.cm.
110.	Editing is a rewording activity.
111.	Why did the Roman Empire collapse? What is the Latin for office
112.	Computer Science is embarrassed by the computer.
113.	The only constructive theory connecting neuroscience and psychology
will arise from the study of software.
114.	Within a computer natural language is unnatural.
115.	Most people find the concept of programming obvious, but the doing
116.	You think you know when you learn, are more sure when you can write,
even more when you can teach, but certain when you can program.
117.	It goes against the grain of modern education to teach children to
program. What fun is there in making plans, acquiring discipline in
organizing thoughts, devoting attention to detail and learning to be
118.	If you can imagine a society in which the computer-robot is the only
menial, you can imagine anything.
119.	Programming is an unnatural act.
120.	Adapting old programs to fit new machines usually means adapting new
machines to behave like old ones.
121.	In seeking the unattainable, simplicity only gets in the way.
If there are epigrams, there must be meta-epigrams.
122.	Epigrams are interfaces across which appreciation and insight flow.
123.	Epigrams parameterize auras.
124.	Epigrams are macros, since they are executed at read time.
125.	Epigrams crystallize incongruities.
126.	Epigrams retrieve deep semantics from a data base that is all
127.	Epigrams scorn detail and make a point: They are a superb high-level
128.	Epigrams are more like vitamins than protein.
129.	Epigrams have extremely low entropy.
130.	The last epigram? Neither eat nor drink them, snuff epigrams.