Rosetta Code - Enthüllung der Geheimnisse der Programmiersprachen, die unsere Welt antreiben

Es ist kein Geheimnis, dass die Tech-Welt von einem relativ kleinen Pool von Programmiersprachen dominiert wird. Während es schwierig ist, genaue Zahlen zu erhalten (und zweifellos im Laufe der Zeit variieren), könnten Sie wahrscheinlich eine Handvoll Sprachen nennen, die die überwiegende Mehrheit aller Programmausgaben über einen bestimmten Zeitraum ausmachen.

Mit zwei interessanten Websites, die ich während der Recherche in diesem Artikel besucht habe, können Sie Programmiersprachen nach Beliebtheit visualisieren. Mit IEEE Spectrum können Sie die Gewichtung verschiedener Metriken interaktiv anpassen, während PYPL eine übersichtliche Tabelle mit tatsächlichen Prozentanteilen auf der Grundlage von Google Trends-Daten der letzten 12 Monate bereitstellt.

Jetzt lehne ich es ab, in Debatten darüber verwickelt zu werden, was genau die beste Metrik für die Popularität von Programmiersprachen sein kann oder nicht (und ob dies sowieso eine wichtige Statistik ist oder nicht). Was folgt, ist nur eine voreilige Analyse, um einen Punkt zu veranschaulichen (jede Ausrede, R-Fiddle wirklich zu benutzen!)

Anhand der Daten von PYPL können wir einige klare Trends erkennen:

1) - Die Top-10-Sprachen machen fast 90% der Google Trends-Daten aus

In der Reihenfolge sind dies: Java, Python, PHP, C #, JavaScript, C, C ++, Objective-C, R und Swift. Zusammen haben sie einen Google Trends-Anteil von 87,1%.

2) - Die Popularität der Sprache folgt einer Potenzgesetzverteilung

Unter Verwendung meines Lieblings-R-Pakets 'igraph' für seine vertrauenswürdige Funktion power.law.fit () stellte ich fest, dass die Popularität von Programmiersprachen einer Potenzgesetzverteilung folgt:

> pL = power.law.fit(shares)> pL$KS.p$KS.p[1] 0.9873141

Dieser $KS.pWert von 0,987 ist der p-Wert, der mit einer Kolmogorov-Smirnov-Teststatistik assoziiert ist, was uns sagt, dass wir verdammt sicher sein können, dass die Verteilung der Popularität (wie von PYPL definiert) einer Potenzgesetzverteilung folgt.

Wie bei vielen anderen Phänomenen ist die relative Popularität von Programmiersprachen ungleich verteilt. Dies kann in der Regel durch einen positiven Feedback-Mechanismus (oder einen Mechanismus mit Schneeball-Effekt) erklärt werden. Eine vereinfachte Version könnte besagen, dass je beliebter eine Sprache ist, desto mehr Arbeitsplätze in ihr verfügbar sind, sodass mehr Menschen dazu angeregt werden, sie zu lernen Steigerung seiner Popularität.

Was gibt es Neues?

Es ist nicht wirklich überraschend, dass einige Programmiersprachen weitaus beliebter sind als andere. Jeder weiß bereits, dass Java, C, C ++, C #, Python et al. sind bei weitem die am häufigsten verwendeten Sprachen.

Was ist mehr interessant, meiner Meinung nach , ist die Beobachtung , dass für jede Behemoth Programmiersprache, muss es in der Wüste Dutzende von kleineren, Nische Sprachen da draußen.

Abgesehen von der Neugier gibt es gute Gründe, sich dafür zu interessieren. Jeder, der sich mit mehr als einer Handvoll Programmiersprachen beschäftigt hat, weiß, dass verschiedene Sprachen für verschiedene Zwecke geeignet sind. JavaScript ist für die Webentwicklung, PHP für die serverseitige Programmierung, R für die Statistik und Matlab für die vollständige Mathematik. Bei Programmiersprachen ist Abwechslung eine gute Sache. Es gibt möglicherweise nur eine Sprache, die sich ideal zur Lösung des Problems eignet, von dem Sie nicht einmal wussten, dass es es gibt.

Aber wo finde ich sie? Ein Ort, um zu suchen, ist Rosetta Code.

Eine Programmiersafari

Ich kann mich nicht genau erinnern, wie ich auf Rosetta Code gestoßen bin, aber als ich ihn gefunden habe, war ich begeistert. Es beschreibt sich selbst als Programmier-Chrestomathie-Site und verfügt über beeindruckende 647 Programmiersprachen in seinen Archiven. Geh und schau es dir an.

Das wirklich Tolle ist, dass Rosetta Code nicht nur ein generisches „Hallo Welt!“ Gibt. Beispiel für jede Sprache. Nein, stattdessen gibt es eine Sammlung von über 800 verschiedenen Programmieraufgaben, von einfachen wie "Odd or Even" bis hin zu fortgeschritteneren Problemen wie Labyrinthlösung und Web-Scraping. Jede Aufgabenseite beschreibt das zu lösende Problem und gibt dann Lösungen in einer Reihe von Programmiersprachen.

Hier spielt der Ruf keine Rolle. Neben C, C ++, Java usw. finden Sie Lösungen in Sprachen, von denen Sie noch nie zuvor gehört haben. Einige sind retro, andere modern; Einige kommen mir bekannt vor, während andere unglaublich esoterisch sind. Sie könnten länger damit verbringen, zuzugeben, dass Sie alle Beispiele durchgesehen haben - aber um Ihnen den Einstieg zu erleichtern, habe ich eine Liste der weniger bekannten und / oder interessanteren Sprachen zusammengestellt, die meine Aufmerksamkeit erregt haben. Aktiviere den Nerd-Modus und tauche ein!

Explosion aus der Vergangenheit

Einige Sprachen halten ewig, oder so scheint es. Neben C gibt es seit Jahrzehnten Sprachen, die von Lisp und Fortran abstammen, und andere wie BASIC und Pascal sind möglicherweise aus der Mode gekommen, leben aber in der Erinnerung der Bevölkerung weiter.

Die Zeit war jedoch weniger freundlich zu anderen. Hier ist eine Liste einiger Sprachen mit Codebeispielen für Rosetta, die, um es so auszudrücken, Sie wahrscheinlich nicht bald einstellen werden.

EDSAC-Bestellcode

EDSAC ist ein berühmter früher Computer, der Ende der 1940er Jahre von Maurice Wilkes 'Team an der Universität von Cambridge entworfen und gebaut wurde. Mit dem Bau von EDSAC promovierte David Wheeler 1951 zum ersten Mal in Informatik. Während er dort war, erfand er auch den "Wheeler Jump" oder das geschlossene Unterprogramm - das wir heute allgemein als "Funktionen" bezeichnen.

Trotz seines unerschütterlichen Platzes in der Geschichte ist EDSAC seit 1958 außer Betrieb. Beeilen Sie sich also nicht, seine benutzerdefinierte Programmiersprache zu lernen. Hier ist ein Beispiel aus Rosetta Code. Es ist das "leere Programm" oder das kürzeste legitime Programm. Es macht überhaupt nicht viel.

T64K [ set load point ]GK [ set base address ]ZF [ stop ]EZPF [ begin at load point ]

GEORGE

Diese 1957 erfundene Sprache wäre über Lochstreifen in eine Maschine von der Größe eines Raumes eingegeben worden. Trotzdem war es voll von Funktionen, einschließlich Schleifen, bedingten Anweisungen, Unterprogrammen und Matrixdatenstrukturen. Es liest sich sogar ein bisschen wie eine modernere Sprache.

60 Jahre später ist GEORGE nicht mehr bei uns. So hätte man die Summe einer Reihe berechnet:

0 (s)1, 1000 rep (i) s 1 i dup × / + (s) ;]P

BCPL

Die 'Basic Combined Programming Language' (BCPL) verdient ihren Platz in der Computergeschichte. BCPL hat nicht nur anscheinend die Tradition von „Hello World!“ Entstanden, sondern auch einen tiefgreifenden Einfluss auf das Design von B gehabt, das selbst der Vorläufer von C. BCPL war die erste Sprache, die Klammern „{“ als einen Weg einführte Definieren von Codeblöcken - eine Konvention, die in vielen der bekanntesten Sprachen von heute noch verwendet wird. Anständig, wie Vermächtnisse gehen.

Here’s a “Hello World” program written in BCPL:

GET "libhdr" LET start() = VALOF{ writef("Hello world!") RESULTIS 0}

PL/I

Developed by IBM in the early 1960’s PL/I (Programming Language One) was widely used in its heyday, but never quite displaced its competitors Fortran and COBOL. PL/I was primarily a mainframe language, and with the advent of the PC and the rising popularity of languages such as C++ and Java, PL/I slipped out of favor.

There are many examples of PL/I on Rosetta Code; here it is generating a Fibonacci sequence:

/* Form the n-th Fibonacci number, n > 1. */get list(n);f1 = 0; f2 = 1;do i = 2 to n; f3 = f1 + f2; put skip edit('fibo(',i,')=',f3)(a,f(5),a,f(5)); f1 = f2; f2 = f3;end;

SNOBOL4

SNOBOL was developed in the early 1960’s and became a popular teaching language in the following decade. However, it ran out of steam throughout the 1980’s and 90's, but not before it was able to influence the design of Lua, which makes a top-20 appearance in the PYPL rankings we saw earlier.

Here’s a SNOBOL4 program that outputs the length of a string:

 output = "Byte length: " size(trim(input))end

FOCAL

FOCAL (‘Formulating On-Line Calculations in Algebraic Language’, since you asked) was introduced in 1968, and was an efficient language that could run on very memory-limited systems. One particular quirk of the language was its apparent phobia of strings. Inputting the string “HELLO” would be interpreted as asking the computer to calculate 8 ^ "LLO” , which FOCAL struggled to work out before spitting out a massive numerical answer.

Despite its eccentricities, FOCAL was used widely enough during the 70’s and 80’s. Coca-Cola even used their own version, which they imaginatively called COKE.

This example from Rosetta Code shows a FOCAL program that converts temperatures between different units:

01.10 ASK "TEMPERATURE IN KELVIN", K01.20 TYPE "K ", %6.02, K, !01.30 TYPE "C ", %6.02, K - 273.15, !01.40 TYPE "F ", %6.02, K * 1.8 - 459.67, !01.50 TYPE "R ", %6.02, K * 1.8, !

SETL

SETL was invented in the late 1960’s and was based heavily on set theory, the branch of mathematics that concerns collections of objects. The most recent stable release was back in 2005, but despite its decline from use, SETL has a couple of claims to fame.

The first compiler of Ada, which was developed by the US Department of Defense, was written in SETL. Also, it is said to have influenced ABC — the language which went on to inspire the design of Python.

Here’s how SETL calculates the greatest common divisor of two integers. See any resemblance to Python?

proc gcd (u, v); return if v = 0 then abs u else gcd (v, u mod v) end;end;

MUMPS

This unfortunately named language has been around since 1966, and is also referred to as M. A key feature is the built in database system, which allows for super-efficient access to stored data.

Although no longer in common use, MUMPS lives on the form of GT.M and InterSystems_Cache — which have a niche in hospitals and financial database systems. The European Space Agency has also used InterSystems_Cache for its recent Gaia mission.

This is how MUMPS can be used to reverse a string:

REVERSE ;Take in a string and reverse it using the built in function $REVERSE NEW S READ:30 "Enter a string: ",S WRITE !,$REVERSE(S) QUIT

Deliberately Confusing

What are the hallmarks of a successful programming language? Speed? Versatility? Readability? Nah, forget all that — let’s look at a branch of programming languages out there that are intentionally difficult and/or unintuitive to use.

Esoteric languages, or ‘esolangs’, are programming languages used sometimes for experimentation, sometimes for a challenge, and sometimes just as the ultimate nerdy in-joke. If you don’t quite get it, that’s ok — in fact, that’s usually the point.

Better-known examples include Brainf***, Befunge and the particularly migraine-inducing Malbolge. Here’s a list of a few others, ranging from the amusing to the interesting, to the outright obtuse. Include these on your CV/Resume at your own risk.

INTERCAL

The original esoteric programming language was invented in 1972, making it as old as C. It was introduced as a parody of programming practices prevalent at the time, but its continued survival to this day suggests it is still as relevant as ever.

On top of an obtuse syntax, INTERCAL confuses its users even further by requiring them to use the keyword PLEASE every so often, else the program refuses to run. However, being overly polite backfires — saying ‘please’ too frequently will also result in an error. Of course, this eccentricity was not officially documented, because that’d just be too helpful.

Here’s an infinite loop, written in INTERCAL:

NOTE THIS IS INTERCAL PLEASE ,1 <- #5 DO ,1 SUB #1 <- #54 DO ,1 SUB #2 <- #192 DO ,1 SUB #3 <- #136 PLEASE ,1 SUB #4 <;- #208 DO ,1 SUB #5 <- #98 DO COME FROM (1) DO READ OUT ,1(2) DO ,1 SUB #1 <;- #134(1) PLEASE ABSTAIN FROM (2)

Beeswax

This is a conceptually interesting language, which takes the movement of bees around honeycomb as inspiration for the movement of pointers across instructions.

Beeswax is capable of arithmetic, reading/writing files, and even modifying its own source code. Below is a program that calculates n-factorial (n!) of a user-input integer.

 p M"p~.~d >Pd >~{;

Chef

This is perhaps my favorite of the languages I found on Rosetta Code. I’d previously read about it elsewhere, but hadn’t seen anything like the range of examples provided here.

Unlike most programming languages, Chef reads almost completely naturally, as each program is formatted much like a recipe (hence the name!). For completeness, it also refers to variables, instructions and data structures with cooking-related names, such as “mixing bowl”, “refrigerator”, “mix”, “chop” etc. Why not?

Here’s a sample program that calculates the sum and product of an array of numbers.

Sum and Product of Numbers as a Piece of Cake. This recipe sums N given numbers. Ingredients.1 N0 sum1 product1 number Method.Put sum into 1st mixing bowl.Put product into 2nd mixing bowl.Take N from refrigerator.Chop N.Take number from refrigerator.Add number into 1st mixing bowl.Combine number into 2nd mixing bowl.Chop N until choped.Pour contents of 2nd mixing bowl into the baking dish.Pour contents of 1st mixing bowl into the baking dish. Serves 1.

Golfscript

Familiar to fans of code golf (a fantastically geeky hobby in which participants try to solve programming puzzles in as few bytes of code as possible), Golfscript is a language designed to do a lot with a little.

It certainly achieves this goal, and allows its users to solve complex puzzles very concisely. Its website tells us this brevity is attained through ‘using single symbols to represent high level operations’.

Would you use it in a production setting? Maybe, if you were a seasoned code golfer and had no regard for the sanity of any successor to your project. Otherwise… probably not.

Rosetta Code has several nice examples of Golfscript, and since it manages to be so damn concise, I’ve included three of them here:

[2 4 3 1 2]$ #Sort an integer array
[296,{3/)}%-1%["No more"]+[" bottles":b]294*[b-1<]2*+[b]+[" of beer on the wall\n".8<"\nTake one down, pass it around\n"+1$n+]99*]zip #99 Green Bottles Lyrics
[{"close"}100*]:d;10,{)2?(.d++:d;}/[100,{)"door "\+" is"+}%d]zip{" "*puts}/ #100 Doors Challenge

Hoon

Hoon is fascinating in that, although some would class it as an esolang, it does actually serve a practical purpose. It can be used to program web services on Urbit, which describes itself as a ‘secure peer-to-peer network of personal servers’.

Take a look at the ‘greatest element’ example below.

Hoon is described as Lisp-y, and note the two-character symbols at the start of each line. These ‘runes’ are used in place of reserved keywords, which is a great concept, but does impact readability for those unfamiliar with its logic, and probably qualifies Hoon as somewhat esoteric.

:- %say|= [^ [a=(list ,@) ~] ~]:- %noun (snag 0 (sort a gte))
> +max [1 2 3 ~]3

Piet

By far the most unique language I came across was Piet, named after the 20th Century Dutch artist, Piet Mondrian.

It follows one highly unusual design principle: Program code should be in the form of abstract art. How is this achieved? The solution is nothing short of genius.

Integers are represented by the number of ‘codels’ in a contiguous block of color. The pointer starts in the top-left corner, and moves around the image. Every time it encounters a color change, an instruction is executed. The exact instruction is specified by the changes in both hue and brightness.

Mind = Blown.

Playing With Arrays

One thing that caught my attention was the number of array-based languages there are out there. Array-based programming has been around since the early 1960’s, with the invention of APL, and although they’re not exactly mainstream, there are plenty of offshoots still used to various extents today. These languages all have a lot in common, so I’ll spare you too much detail, but they’re interesting in just how concise they can be.

J

J was invented by Kenneth Iverson, who was also the inventor of APL. J is a very terse language, letting you get a lot done with very few lines of code.

Below is a K-means clustering algorithm. For comparison, the same example in C runs to 184 lines.

NB. Selection of initial centroids, per K-means++ initialCentroids =: (] , randomCentroid)^:(<:@:]`(,:@:[email protected]:[))~ seedCentroid =: {~ [email protected]# randomCentroid =: [ {~ [: wghtProb [: <./ distance/~ distance =: +/&.:*:@:-"1 NB. Extra credit #3 (N-dimensional is the same as 2-dimensional in J) wghtProb =: 1&$: : ((%{:)@:(+/\)@:] I. [ [email protected]$ 0:)"0 1 NB. Due to Roger Hui //j.mp/lj5Pnt NB. Having selected the initial centroids, the standard K-means algo follows centroids =: ([ mean/.~ closestCentroid)^:(]`_:`initialCentroids) closestCentroid =: [: (i.<./)"1 distance/ mean =: +/ % #

K, q

These two languages were both developed commercially by Kx Systems. Both are APL-like, array-based languages that have applications in finance and big data. q is wrapped around K, and provides enhanced readability.

I’ve included a couple of examples of each below. These are super-concise languages, and would no doubt be good for a round of code golf, if that’s what you’re into.

/ 1-D Cellular automata in Kf:{2=+/(0,x,0)@(!#x)+/:!3}
/ Anagrams in K/a:#:'x{x [email protected]&1<#:'g:={[email protected]
/ Pascal's Triangle in qpascal:{(x-1){0+':x,0}\1}
/ 100 Doors Challenge in q`closed`open (1+til 100) in `int$xexp[;2] 1+til 10

Klong

Klong is similar to K and q, but its website claims it is less ambiguous. Judge for yourself — below is a “Middle Three Digits” solution written in Klong.

items::[123 12345 1234567 987654321 10001 -10001 -123 -100 100 -12345 1 2 -1 -10 2002 -2002 0] mid3::[d k];:[3>k::#$#x;"small":.p(mid3'items)

IDL

One more array-based language for you. IDL (Interactive Data Language), around since 1977, has been used by organizations including NASA and ESA. In fact, IDL found itself something of a niche in space research, and it was once used to help technicians repair the Hubble Space Telescope.

A more down-to-earth application is this function which generates a Sierpinski triangle.

pro sierp,n s = (t = bytarr(3+2^(n+1))+32b) t[2^n+1] = 42b for lines = 1,2^n do begin print,string( (s = t) ) for i=1,n_elements(t)-2 do if s[i-1] eq s[i+1] then t[i]=32b else t[i]=42b endend

Up-and-Coming?

Of course, some languages don’t see much use simply due to the fact they haven’t been around very long. Whether or not they catch on depends on a variety of factors, and the reality is that the vast majority won’t see widespread adoption. But you’ve gotta start somewhere, right?

Here are a selection of languages from Rosetta’s archives that are all relative newcomers to the show.

Crystal

This project is still in alpha-testing, so don’t switch over to it just yet — but keep an eye out. Influenced by the writing efficiency of Ruby and the running efficiency of C, Crystal’s authors seem set on producing an all-round best-of-both-worlds language. Time will tell if they’re successful at doing so.

Below is a ‘quick-sort’ algorithm written in Crystal — why not have a go running it yourself?

def quick_sort(a : Array(Int32)) : Array(Int32) return a if a.size <;= 1 p = a[0] lt, rt = a[1 .. -1].partition   return quick_sort(lt) + [p] + quick_sort(rt)end a = [7, 6, 5, 9, 8, 4, 3, 1, 2, 0]puts quick_sort(a)

Frege

Functional programming is the new big thing, and Frege is a purely functional language first introduced in 2011. It’s been described as “Haskell for the Java Virtual Machine”. Named after the mathematical logician Gottlob Frege, this language compiles to Java, and is also available to try out online.

Below is a solution the “99 Bottles” challenge. It is virtually identical to the same solution in Haskell, which is to be expected.

module Beer where main = mapM_ (putStrLn . beer) [99, 98 .. 0]beer 1 = "1 bottle of beer on the wall\n1 bottle of beer\nTake one down, pass it around"beer 0 = "better go to the store and buy some more."beer v = show v ++ " bottles of beer on the wall\n" ++ show v ++ " bottles of beer\nTake one down, pass it around\n" ++ head (lines $ beer $ v-1) ++ "\n"

Futhark

Although suffering from a lack of comprehensive documentation, the Futhark project nevertheless seems like a promising line of research. The aim is to compile to high-performance Graphical Processing Unit (GPU) code — but not for producing graphical output.

Instead, Futhark’s goal is to harness the power of the GPU to carry out computationally-intensive procedures that would ordinarily take much longer using a more conventional language. Below is an example of a function used to calculate a geometric mean.

include futlib.numeric
fun agm(a: f64, g: f64): f64 = let eps = 1.0E-16 loop ((a,g)) = while abs(a-g) > eps do ((a+g) / 2.0, F64.sqrt (a*g)) in a

Sidef

Sidef is approaching its fourth year of active development, having started out as a project in March 2013. It seems well advanced and very well documented, and has over 600 examples of coding solutions on Rosetta Code.

Sidef is mostly used for research purposes, and looks to explore both OOP and functional programming. Personally, I really like the look of it. The example below shows it in action finding the intersection of two lines.

func det(a, b, c, d) { a*d - b*c } func intersection(ax, ay, bx, by, cx, cy, dx, dy) { var detAB = det(ax,ay, bx,by) var detCD = det(cx,cy, dx,dy) var ΔxAB = (ax - bx) var ΔyAB = (ay - by) var ΔxCD = (cx - dx) var ΔyCD = (cy - dy) var x_numerator = det(detAB, ΔxAB, detCD, ΔxCD) var y_numerator = det(detAB, ΔyAB, detCD, ΔyCD) var denominator = det( ΔxAB, ΔyAB, ΔxCD, ΔyCD) denominator == 0 && return 'lines are parallel' [x_numerator / denominator, y_numerator / denominator]}
say ('Intersection point: ', intersection(4,0, 6,10, 0,3, 10,7))
> Intersection point: [5, 5]

Sparkling

Like Sidef, this language started out in 2013. Its design has been inspired by features of C, Python and Lua — and a disdain for several features of JavaScript.

It aims to be a lightweight and extensible scripting language that runs pretty much anywhere. Below is a number guessing game, which you can try and get working in your browser here.

printf("Lower bound: ");let lowerBound = toint(getline()); printf("Upper bound: ");let upperBound = toint(getline()); assert(upperBound > lowerBound, "upper bound must be greater than lower bound"); seed(time());let n = floor(random() * (upperBound - lowerBound) + lowerBound);var guess; print(); while true { printf("Your guess: "); guess = toint(getline()); if guess  n { print("too high"); } else { print("You guessed it!"); break; }}

Noah’s Ark

One more category for you — there were loads of potential languages and I couldn’t possibly get through them all to pick out every interesting example. If you spot any I may have missed, please leave a response below!

One thing I did notice was that a lot of languages were named after animals. Is there an explanation for this?!

I won’t go into detail, but here’s a quick run-through to finish up with:

Cat, Kitten

Cat is described as a functional language, but appears to be no longer in existence. However, Kitten seems to be currently under development, and calls itself a successor to Cat. Influenced heavily by Haskell, but aims to be more accessible.

"Hello world!" writeln //Cat
"Hello world!" say //Kitten

Cobra

OOP language, influenced by Python, C#, Eiffel and Objective-C.

class Hello def main print 'Hello world!'

> (“Fish”)

Another multidimensional esolang, if you’re into that kind of thing.

!v"Hello world!"r! >l?!;o

Heron

Inspired by C++, Python and Pascal, but no commits since 2012, so appears to be no longer under active development. Its only sample on Rosetta is a lengthy solution to the N-queens problem. For brevity, I’ve inferred a simple “Hello world!” program to show here instead.

Main() { WriteLine("Hello world!");}

Lobster

A game programming language that aims to be readily portable across platforms. Appears to be under active development.

print "Hello world!"

Panda

The website states that Panda aims to be simple enough that a Panda could program it. I’ve no idea how good Panda’s are at coding, though, so I’m still in the dark about that one…

say("Hello world!")

Pony

With influences ranging from C++ to Erlang, Pony looks to be an interesting project with thorough tutorial.

actor Main new create(env: Env) => env.out.print("Hello world!")

Salmon

Salmon aims to intermix the writing of both low-level and high-level code.

"Hello world!"!
print("Hello world!\n");
standard_output.print("Hello world!\n");

Squirrel

Squirrel is a lightweight scripting language that has been embedded in games like Left 4 Dead 2, Portal 2 and CS:GO.

print("Hello world!");

Phew!

That was a whistle-stop tour! If you’ve made it this far and enjoyed the ride (or spotted a glaring, glaring error), leave a response underneath — I’ll try and reply asap! Thanks for reading!

If you want to dive deeper:

  • Rosetta Code
  • PYPL
  • R-Fiddle

Thank you for reading!

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