Let's say a tester is to do some programming to create automated tests ... is Lua really easy to learn for someone who is not a developer?
It depends on the particular non-developer in question. Some people will utterly block on any programming language at all. Some will easily grok many languages and basic programming concepts. There is no silver bullet for putting the power of programming in the hands of someone who is untested on it.
That being said, my personal feeling is that Lua is as good of a place to start as any other programming language.
The Lua language has an active and usually novice-friendly community. It has a long history of use on the boundary between non-programmers and programmers. The language reference manual and standard text book are among the best written examples I've seen in my career. The full text of the reference manual is online, and the first edition of Programming in Lua is as well, although the second edition of PiL reflects the differences in the language that happened after PiL was first published and is well worth the investment to purchase.
One of Lua's strengths is the ease with which it can be integrated into an existing system to construct a configuration and scripting interface to an application. That makes the development cost to adopt it relatively low. Its small size makes the impact on an application release remarkably low as well. Thus getting an existing system to the point where it can be scripted enough with Lua to use Lua as a basis for testing will likely be a straightforward task with few hidden obstacles.
Lua is very forgiving which many people associate with "easy". You do not have to enter semi-colons, you do not have to scope variables, you can write all of your functions in the global scope. Of course doing these things only make your life easier when writing. When debugging even a new programmer may soon see why taking these short cuts is not such a good idea.
I also believe that you can write very simple, easy to use APIs in Lua and you could also create very complex APIs, which may involve object oriented concepts (such as the difference between . and :) or functional APIs with closures and passing around functions as function arguments, etc. Whether the user is able to properly use and understand the language to do the task at hand depends largely on the API as much as or more so than the language.
I do believe Lua is an easier language to learn than many others, like Ruby and Python (and obviously Perl). Lua's grammar and syntax are more consistent than Ruby's for instance; in Ruby you have so many reserved keywords, plus all sorts of symbols (curly-brackets for blocks and pipes for local variables etc), plus it gives you too many options (you can either use curly-brackets for blocks, or you can use the keywords do and end to start and end blocks).
I believe that for non-programmers Lua is much easier especially because of the reasons outlined above. As for programmers, I've read many people say this very same thing and I agree: programming in Lua is very pleasant. I believe that's also because of what I said above.
It probably is becausee its very similar to Python:
The number of universities using Python in there introductory Comp Sci courses is probably the highest of any language (empirically through google). Second probably being Java and Scheme.
The number of Python libraries is astronomical. And the number of people that know the language is quite high thus if you hire a new person there is a good chance they have seen the language before.
Ironically I have grown to not like the language so I am not saying this because I am python fan boy.
As long as you clearly explain to the testers the pitfalls that they may face when debugging in LUA it shouldn't be harder than learning the programming basics of any other language.
What goes through my mind is the situation where the tester made a typo and wrote a different, yet almost unnoticeable, name for a variable. The new variable will be created with the given value but the old variable won't be modified. That sort of thing can be pretty hard to debug when people are not extremely aware of it.
I'm a programmer for more than ten years.
I've learned and used different programming languages.
I've heard about Lua in different occasions, but I've never used it before.
Recently, I decided to learn Lua because our customers are using it.
After spending days on reading the PiL, it turned out for me that Lua is a powerful, flexible, yet sophisticated programming language.
From a software developer point of view, I don't think it's easy for me to be a good coder in Lua in a short time.
But if you just want to 'do something' with Lua, especially if you are from a background of non-programmer, you may feel pleased with Lua, which may be much easier to write some ready-to-use code than some 'traditional' language such as Java, C/C++, Python, etc.
Related
I am wondering what are some specific questions I should keep in mind when I am comparing programming languages for use on given work projects. For instance, I am told logic programming languages like Prolog are good for natural language processing. I'm not sure why exactly; I assume it is true because experts say so, but I don't know the consideration that guides them to that conclusion. So I am looking for a simple heuristic, a checklist of questions, I can apply to evaluate programming languages and be able to explain my decisions, so that I can say "Language X is good for Y because it does Z."
The only way I know of to figure out which programming language is most appropriate for a given problem, is to know lots of programming languages. After all, if you don't know screwdrivers exist, how will you know not to use a hammer when you encounter a screw?
Unfortunately, there are thousands (maybe tens of thousands) of programming languages, so learning even a significant portion of them is just not realistic.
However, programming languages implement paradigms. And Peter van Roy's famous poster only lists about 34 of those. Although he deliberately decided to ignore several aspects, including anything related to typing, so the real number is probably higher than that. But we can expect it to be well below 100.
That's still a lot, though, but thankfully, paradigms aren't atomic either, they are composed of concepts. The poster lists about a dozen of those (again ignoring typing and a couple of other things). Significantly less than paradigms.
Learning a significant portion of concepts is entirely feasible. Once you know them, you can look at a problem and see which concepts would be useful to have to build a solution. Then you look at which paradigms contain those concepts and which languages implement those paradigms. Pick one, learn it, use it, solve the problem.
And since you already know the concepts (and thus the paradigms) the language implements, you only need to learn the syntax, not the semantics. There aren't actually that many different syntaxes in the wild (C, C++, Objective-C, Objective-C++, D, Go, Java, C#, ECMAScript, PHP, Vala and many others share a lot of syntax, for example, as do Smalltalk, Self, Newspeak and Objective-C, SML, OCaml and F#, and so on), so chances are, you'll pick that up very quickly. (Besides, with today's modern IDEs that's much less of an issue anyway.)
One small point to bear in mind: if you are an expert in language X and you are asked to develop a program in domain Y for which language Z is supposed to be ideal -- will you deliver sooner and better by writing in the language you are an expert in even if it is not (by some measures) ideal for the problem domain ? Or will you deliver better and sooner by first learning a new language ?
I think your search for a simple heuristic is in vain.
Start with what you're team is familiar with. While there's a lot to be said for the philosophy that a great developer can pick up almost any language in short order, there's a practical side that goes to the fact that if you have a ton of .Net or Java coders, you're best served in starting from that base.
Now, within both stacks you have options on things like functional programming (F#, Erlang, etc.) and other languages on the runtime your team is most familiar with. But it really does boil down to the culture, infrastructure, and (most importantly) the experience and flexibility of the individual developers on your team.
There are several factors to consider:
What is your local expertise? If you have a company full of C programmers, it's probably not worth retraining everybody to be Lisp programmers.
What are your libraries? If you have libraries that you want to use, make sure that they are compatible with your language of choice.
If you are starting a new project with a wide-open field of options, I would recommend taking a few sample problems out of the application domain. Nothing too complex, but nothing trivial either. Then, implement (or have someone from your team implement) these samples in each candidate language. Then, choose the one that is clear, easy, and appropriate.
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Haskell vs. procedural programming in the real world
Few times I heard people saying things like "Every programmer should know Haskell", "You aren't a programmer if you don't know haskell" and so on.
However, I'm not exactly sure if I should bother trying to get a brief understanding of that language or not. Playing around with interpreter (to get intuitive understanding of basics) will take at least few days (if not weeks), and I"m not exactly sure if the result will be worth it.
A bit of background (to get idea of my knowledge)
I've started programming as a kid (somewhere between 10 or 13 years ago) with programmable calculator, moved to basic, then onto non-x86 assembly (reimlementing multiplication and division, and writing self-modifying mouse driver was fun), pascal, delphi, now I'm using C++ almost exclusively. Know my way around unix shell, can write software in python and probably in anything (if I have a reference book nearby) that remotely resembles C++ or Pascal (i.e. blocks, similar flow control, etc). Specialization is 3D programming and shaders. "Fish in the water" with low-level operations (C-style memory allocation, pointers), less comfortable with extremely OOP approach (i.e. when classes are made for the sake of having classes). Almost completely self-taught. I.e. definitely not a newbie, but there are areas where I could improve.
So... what could I possibly gain from studying Haskell at this point? As far as I know, this language is not really widely used, as a result there probably is less libraries it can interface with (as it was with Delphi programming - you can do DirectX programming in delphi, if you really want, but you can't write 3dsmax/maya plugin with it (well, it is probably theoretically possible, but it certainly won't be easy)). I also don't think that I'll be easily able to plug a piece of Haskell code into game engine.
So, what kind of useful knowledge I can get from it?
P.S. I won't buy "if you learn another language, you'll probably learn something that will be probably useful" argument.
(Surely this is a duplicate question, but I can't find one now.)
You learn it in order to learn pure functional programming, which forces you to do many things in a completely different way. You get a new way of thinking. Programming without state? Programming without effects? Everything is lazy? Crazy type system with type inference? What the hell are monads? Your mind will be repeatedly blown, but in the end you come out with new perspectives/techniques from functional programming that are hard to otherwise pick up without going full-blown Haskell.
The problem with trying to be specific, is that trying to tell a non-Haskeller what they'll learn from Haskell is like trying to explain the color "green" to a blind guy.
A few years ago, many people were surprised to discover one of the introductory courses was being taught using Haskell as a/the programming language! Although I didn't have experience with Haskell, I had some background in Lisp and other Functional Programming languages.
I think the anecdote shows how knowledge can be useful when you least expect it.
In more practical terms: You may have noticed that CPU speeds hit a wall some years ago, and now the most practical way to pull more performance from computers is by installing multiple CPUs. Now it so happens that most if not all of the programming languages you know are essentially single tasking, and subject to the Von Neumann bottleneck. An obvious solution is parallel programming, but that can be very painful if the parallel parts of your program end up sharing state, i.e. memory - and this is most often the case.
It turns out that Functional Programming is a style that allows you to mostly circumvent the problems of parallel programming with shared state. Stated differently, it's fairly easy to write programs in the FP style that are "naturally" thread safe and suitable for parallel processing. Depending on the language, compiler and hardware you may even find (as I recently did) parts of your program running in parallel without ever having done any explicit coding for parallelism.
I'm frequently wrong, but my guess is that Functional Programming will turn out to be one of the hot programming paradigms of the future as parallel programming becomes more important and more difficult. Haskell may not turn out to be the language of choice - my personal favorite is currently Clojure - but it may well be worthwhile to take a look at one or more FP languages.
I also don't think that I'll be easily able to plug a piece of Haskell code into game engine.
If you only want to write 3D game engines then maybe there's not much point in learning Haskell.
If you want to be a well-rounded programmer capable of programming in multiple paradigms and you currently only know C-like languages then it is worth a look.
Every time you learn a new very different language it makes learning the next language easier because you're not just memorizing new syntax, you're also learning different ways of thinking about programming. If you try out a new language and you see some new feature you will more quickly understand it if you can relate it to another feature in a language you already know. The more languages you know the more likely it is that this new feature is similar to something you've seen before.
It's also handy to have many tools available in your toolbox. Some problems are better solved in one language than another. If you have 5 very different types of languages then you can select the best one for each problem. If you know only 2 or 3 very similar languages then some problems will be easy to solve, but others might be more difficult than if you used a language which is better at that specific task.
If 3D programming is your thing, you might be interested in some slides from a talk entitled The Next Mainstream Programming Languages: A Game Developer's Perspective by Tim Sweeney, the founder of Epic and technical director for the Unreal engine. He's spoken on the subject multiple times, and he clearly thinks very highly of Haskell.
There are several things you can get, mainly in the way you think about things. For example, it is interesting to notice what a minimal language is. If you go through SICP (and the same concepts apply to Haskell too), you will notice how you don't need loop syntax at all. You don't need any predefined functions that work on larger structures. You can define pretty much everything you need if you are given a cons constructor/deconstructor, or a way of defining one, and ability to recurse functions. You can define everything else yourself - and it is an interesting exercise to do so. And this is only the tip of the iceberg.
On a more practical level, for example, a couple of weeks ago I was doing OCaml homework and moaning "why doesn't this $%$%# language have call/cc!?!" My mind was blown when I noticed what I was thinking - I would never have missed it if I didn't know what it was, and I wouldn't known what it was if I didn't take a look at Scheme, Haskell, Ruby.
You can find many nice examples at ICFP contest; the one that really wowed me was this entry at this contest. They created a new language inside Haskell to solve their problem.
Learning a functional language will be quite a change from what you are used to.
So yes, you'll probably going to learn something useful ;)
I would say, if it's a chore don't do it. Otherwise start to read this and you should see after 10 mn if you are bored or if you are gripped and can't stop reading it.
Functional languages like Haskell are a different way of thinking about a problem. They are useful for learning and teaching data structures and algorithms, as they simplify those kinds of problem.
If you use the STL from C++, that has functional concepts that are similar to Haskell and other languages, so having a grounding in Haskell will help understand how the STL works.
If you use XSL:T to transform XML, that is very functional in its design.
The title may seem slightly self-contradictory, and I accept that you can't really learn a language quickly. However, an experienced programmer that already has knowledge of a few languagues and different styles (functional, OO, imperative etc.) often wants to get started quickly. I've seen a few websites doing effective "translations" in the form of "just show me syntax equivalence". I can't remember the sites now, but for related languages (e.g. Perl/PHP) it's quite common.
Is there a better resource that covers more languages? Is there a resource that covers idioms as well as syntax? I think this would be incredibly useful for doing small amounts of work on existing code bases where you are not familiar with the language. Looking at the existing code, as we know, is not always a good indicator of quality. Likewise, for "learn by doing" weekend project I always have the urge to write reasonably idiomatic, clean code from the start. Such a resource could also link to known good example projects of varying sizes for those that prefer to learn by reading. Reading a well-written medium sized code base can also be much more practical when access to development environments might be limited.
I think it's possible to find tutorials and summaries for individual languages that provide some of this functionality in disparate web locations but I'm hoping there is a good, centralised, comparative place that the busy programmer can turn to.
You generally have two main things to overcome:
Syntax
Reference
Syntax you can pick up fairly quickly with a language tutorial and a stack of samplecode.
Reference (library/API calls) you need to find a proper guide to; perhaps the language reference, or perhaps google...
With those two in place, following a walkthrough (to get you used to using the development environment) will have you pretty much ready - you'll be able to look up what you want to say (reference), and know how to say it (syntax).
This, of course, applies principally to procedural/oop languages; languages that require a paradigm switch (ML/Haskell) you should go to lectures for ;)
(and for the weirder moments, there's SO!)
In the past my favour was "learning by doing". So e.g. I know a little bit of C++ and a lot of C#.Net but I must write a FTP Tool in Python.
So I sit for an hour and so the syntax differences by a tutorial, than I develop the form itself and look at the generated code. Then I search a open source Python FTP Client and get pieces of code (Not copy and paste, write it self to see, feel and remember the code!)
After a few hours I get it.
So: The mix is the best. A book, a piece of good code, the willing to learn and a free night with much coffee.
At the risk of sounding cheesy, I would start with the language's website tutorial and/or FAQ, followed by asking more specific questions here. SO is my centralized location for programming knowledge.
I remember when I learned Perl. I was asked to modify some Perl code at work and I'd never seen the language before. I had experience with several other languages, however, so it wasn't hard to figure out the syntax with the online Perl docs in one window and the code in another, side-by-side. I don't know that solely reading existing code is necessarily the best way to learn. In my case, I didn't know Perl but I could tell that the person who originally wrote the code didn't know Perl either. I'm not sure I could've distinguished between good Perl and really confusing Perl. It would've been nice to be able to ask questions here at the time.
Language isn't important. What is important is learning your ways around designing algorithms and the proper application of design patterns. Focus on the technique, not the language that implements a certain technique. Once you understand the proper development techniques, any programming language will just become real easy, no matter how obscure they are...
When you put a focus on a language, you're restricting your own knowledge.
http://devcheatsheet.com/ seems to be a step in the right direction: it aggregates cheat sheets/quick references and they are (somewhat) manually reviewed. It's also wide-ranging. It still comes up short a bit in terms of "idiomatic" quick reference: for example, the page on Ruby doesn't mention yield.
Rosetta Code appears to be an excellent resource that includes hints on coding idiomatically and moves from simple (like for-loops) to things like drawing. I haven't checked out how comprehensive it is, but there are a large number of languages and tasks listed. The drawbacks re: original question are:
Some of the linking is not accurate
(navigating Python->ForLoop will
take you to the top of the ForLoop
page, not the Python section). It's a
wiki, this can be improved.
Ideally you could "slice" the wiki
however you chose to see e.g. the top
20 tasks for two languages
side-by-side.
http://hyperpolyglot.org/ seems to be an almost perfect match for what I was looking for. The quality is not always there, or idiom can be lacking, but it has the same intention and is pretty comprehensive.
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Closed 9 years ago.
I already have a few languages under my belt (in a rough order of expertise): Python, C, C++, PHP, Javascript, Haskell, Java, MIPS, x86 assembler. But it's been almost 2 years since I learned a new one, and I'm starting to get the itch. I have a few criteria:
Must (repeat: must) have a free Linux implementation
Should be different from the languages I already know. In other words, it should have features that get me thinking about solving problems in a new way.
Should have some potential for practical use. It doesn't need to be the next Java, but this rules out Brainf* and Shakespeare :) I don't really care how many job postings does it have, but real-world apps and libraries are a plus.
Should have at least just enough free learning materials to get me started in it.
I was thinking Lisp (CL? something else?) or OCaml. I already have some experience with functional languages with Haskell (yes I know that Lisp/OCaml are multi-paradigm). I'm not an expert - e.g. parts of code from Real World Haskell can still contort my brain, but I understand the basic concepts and some advanced ones (functors, monads).
Which one to choose? Any other languages that I have overlooked? Also, could you please include some useful links to good books/tutorials etc.
Neither Lisp nor OCaml is super far afield from what you already know. Here are four suggestions chosen partly for intrinsic interest and partly to stretch your horizons.
A logic programming language, probably Prolog. I haven't found good materials online, but the book The Art of Prolog by Sterling and Shapiro is excellent. The more basic textbook by Clocksin and Mellish is also good. The main point of interest is programming with relations, not functions.
A pure object-oriented language, either
Smalltalk or Self. If you've only used hybrid object-oriented languages you'll be amazed how beautiful pure object-orientation can be. I've linked to the Squeak implementation of Smalltalk. I personally would recommend learning Smalltalk before tackling Self; there's a very large and active community and the software is well developed. Self stands on Smalltalk's shoulders and is an even more inspiring design, but the community is much smaller. For those who have access to the ACM Digital library I recommend the excellent talk by Dave Ungar at HOPL-III; the paper is also pretty good.
The Icon programming language has two great things going for it; a powerful and unusual evaluation model with implicit backtracking, and a user-extensible model of string processing that beats regular expressions all hollow. I'm sorry to say that Icon has never quite kept pace with the times, and of all my recommendations it is the least practical. In fact I fear the language is moribund. But it will stretch your mind almost as much as Haskell, and in wildly different directions. Icon is still very useful for string-processing tasks of modest size.
You can read about Icon string processing in an article by Ralph Griswold from Computer Journal.
The Lua programming language is my last and least radical suggestion. Its interest is not so much in novel language features or paradigms but in the superb engineering of the language and its implementation. Lua occupies a number of niches, including scripting, gaming, string processing, and lightweight functional programming. But its main point of interest is its seamless integration with C, and to get the full benefit, you should bind a C library into Lua.
The HOPL-III web site also contains an excellent talk and paper about Lua.
Both Common Lisp and Ocaml are certainly useful to learn. If you already know Haskell, CL might be the more different experience.
SBCL and Clozure CL are both very useful implementations of Common Lisp on Linux. (Overview about various implementations: Common Lisp survey.)
As a starting point I would recommend to use Peter Seibel's excellent book Practical Common Lisp, that is both available online and printed.
Community pointers are here: CLIKI.
Prolog may be what you are looking for.
Edit
The first commenter is right, my answer was pretty short and not very useful, so:
My preferred implementation is SWI-Prolog. I personally learned from Prolog Programming for Artificial Intelligence. It's style is pretty clear and it contains many examples, but I don't own any other book on logic programming (it's a shame, really :) so I have no basis for comparison.
Erlang is pretty interesting to learn because of its super efficient concurrency model, and the ease with which you can write distributed systems (for an example of this, CouchDB was written in Erlang). It's a dynamically typed functional language, but you can also write code in a procedural fashion. The tutorial I learned it with is called "Getting Started with Erlang", which covers just about every part of the language.
If you want to make use of your Java and functional programming knowledge, and you want to learn a Lisp, then try Clojure.
The implementation is free and cross-platform including Linux, because it runs on the JVM. Being a Lisp, it's different enough (in useful and wonderful ways) from most other languages to make things interesting. Some features such as immutable data structures, multimethods, metadata support, focus on safe concurrency, etc. are fairly novel compared to the languages you listed. Clojure is geared heavily toward being a practical and useful language rather than an academic one. It's a functional language but not "pure", which is arguably a good thing. You can also trivially make use of any Java library from within Clojure.
Clojure is a new language, so the only book out so far is Programming Clojure, but it's a pretty good one. There's also a wiki which may not be entirely up-to-date, because the language is still evolving very quickly. The mailing list and IRC channel are very friendly, welcoming places to ask questions. The official website is also a good resource, of course.
I'm going to recommend something that I haven't yet tried, but plan to, so you have to judge for yourself this one. There's this language, called IO, which is particular in that its prototype-based, like JavaScript, but also borrows concepts from many other languages. Its job market it's probably nonexistent, but I thought I mention this language.
Otherwise, a language from the Lisp family may be pretty different from what you already know. In that regard I'd recommend Scheme, which is, in my opinion, more elegant than Common Lisp. The new concept that you might found interesting in Scheme is continuations.
If you take the Scheme path, make some time to watch these videos from 1986. They're amazing.
Have a look at Smalltalk ! Either Cincom VWST or Smalltalk/X - dont bother with Squeak as the interface is terrible). VAST is good also but really only Windows centric. And dont bother about the sceptics that pore scorn on Smalltalk -- they arent using it and are stuck in the morass of edit-run-debug cycle languages and multiple dispirt linked libraries. :-)
Why these Smalltalks - well, they come complete wth excellent IDE, GUI tools builtin, best debugger you will ever see, online help, and is totally independent of the underlying OS. Eg a ST/X programming running under Linux can be transfered ( source code) to Windows ST/X and it should execute.
ST/X is free with only a very minor licience restrictions, Cincom offer a free NC ( Not Commercial ) version that is NOT restricted. I use ST/X as I prefer the default look & feel
it offers. Their IDE interfaces are very similar.
Languages without a IDE & GUI tools are just wasting your time as the world is really GUI, no matter how terrific the underlying language is. Eg Ruby is great, but with no IDE or easy GUI tools its really frustrating.
Smalltalk is not easy to get into, and its not perfect,(what language is?) but very satisfying to learn & use. And now that the hardware and operating systems have finally caught up with Smalltalks needs . very efficient.
I second Rainer's Common Lisp recommendation.
CL has all the things you're looking for and will provide a genuinely novel experience that will also make your coding efforts and approaches in other languages better.
But bring patience and persistence, you will have to grasp a lot of concepts that will seem alien at first.
You could try Tcl. It was sufficiently different to provoke an adverse reaction in my brain, so I can't really tell you how I found it different, but there's been a lot of good stuff written in it (maybe less nowadays than earlier).
C# has a free implementation in Linux under the Mono project, and it arguably is a very marketable skill unless you're completely anti-Microsoft.
My favorite C# book is Pro C# 2008 and the .NET 3.5 Platform, Fourth Edition.
If you're really want exotic, F# is an OCaml style language that runs on the .NET platform and mono, and is getting a lot of attention these days.
http://msdn.microsoft.com/en-us/fsharp/default.aspx
Books for F#:
http://www.amazon.com/s/ref=nb_ss_gw?url=search-alias%3Daps&field-keywords=f%23
Of the suggestions I've seen so far, I like Lisp (see Secko) and Smalltalk (see brett), as both will give you another view of languages. Prolog even more so.
Another language that is different is Erlang -- I haven't had a chance to learn it yet, but it handles concurrency in a different way. The best link I can give you is the main website.
In terms of recommendations, Lisp is good both because it is currently used and because it is very old. The others you will have to look at sources and see which one appeals the most.
Try FORTRAN, then? I hear it's still actively used by the scientific and mathemematical communities, plus it should be dissimilar enough to be a learning challenge.
Compilers:
http://gcc.gnu.org/wiki/GFortranBinaries
http://www.g95.org/
http://www.fortran.com/compilers.html
http://www.thefreecountry.com/compilers/fortran.shtml
IDEs:
http://www.eclipse.org/photran/
http://force.lepsch.com/ (FORTRAN 77 only)
Tutorials:
Introduction to Modern FORTRAN: http://www-uxsup.csx.cam.ac.uk/courses/Fortran/
FORTRAN 90 Tutorial: http://www.cs.mtu.edu/~shene/COURSES/cs201/NOTES/fortran.html
You could also learn Visual Basic.NET, in case you ever get forced to maintain that. Evidently mono has a working Linux implementation of it:
http://www.mono-project.com/Visual_Basic
Factor is pretty radically different from everything you said you know, and also everything else listed. It's stack-based, like Forth, but has a fairly comprehensive library and a lot of interesting features.
Ada is very practical -- there's a compiler based on gcc -- but also quite different from the other imperative languages you know. I find the type system a bit stifling, but it was worth learning something about.
Lisp is a great HLL, it has everything that other languages lack. In my opinion, this is a very good language that can "satisfy" any programmers needs.
Perl is also a HLL like Lisp, it's interesting and fun at the same time. It derives from C so you can pick it up as you go. It can be hard sometimes and some people tend to get lost while learning, but it's worth knowing.
Both languages are free of use and come with Linux.
Links
Lisp:
If Lisp is so great,
An Introduction and Tutorial for Common Lisp
Perl:
PERL -- Practical Extraction and Report Language
Books
On Lisp - Great book by Paul Graham on the Lisp language. It's free and you can download it here.
Scala has been very good for making me see programming in a new light. I haven't used it for anything worklike yet, but it's still affected how I write code in other languages - not just Java, but PHP. I recently wrote a simple parser for a WordPress plugin, and the code is vastly more functional and immutable than it would have been six months ago, and better for it, despite the lack of enforcement in PHP.
The only other language to have affected the way I work so dramatically is Perl, nearly a decade earlier. Perl has contributed a lot to the way I pseudo-code, even if I never touch the language itself.
Many people compare the functional aspects of Scala to Haskell. You may even imagine that knowing Haskell means you already know all Scala could teach you, but I don't believe that. The way Scala combines OO and function has a way of making it seem like that's actually the truest form of both of them.
Like you, I have over a dozen languages under my belt. While shopping for something to play with for writing a cross-compiler, I ran across ML and family. Many very good ideas there, and they have taught me to write code is a much different way; for example, my JavaScript now has a decidedly functional bent.
After toying with OCaml under Windows a while (and getting frustrated with stability issues), I ran across F#, an offspring of OCaml. The two are quite similar (can cross-compile a lot of code), but OCaml apparently has a really good macro system (P4) and type-classes (in support of writing "strongly typed" operators against generic types), while F# has excellent support for asynchronous and parallel operations, monads, units-of-measure for numeric types, as well as cleaner OO syntax and awesome IDE integration (VS2008 & will be released in-the-box with VS2010). I much prefer F# these days, since I have access to the whole .NET runtime and loads of 3rd party libraries. In fact, I write most of my one-off and utility code in F# now; for me, its generally much more productive than C++, JavaScript, C#, PowerShell, or anything else.
F# works fairly well under Mono on Linux, and has a good following there. The compiler and runtime will be open sourced once stable (released with VS2010), and the developers consider Mono support enough of a priority for it to be seriously considered for non-Microsoft use.
So, I am writing some sort of a statistics program (actually I am redesigning it to something more elegant) and I thought I should use a language that was created for that kind of stuff (dealing with huge data of stats, connections between them and some sort of genetic/neural programming).
To tell you the truth, I just want an excuse to dive into lisp/smalltalk (aren't smalltalk/lisp/clojure the same? - like python and ruby? -semantics-wise) but I also want a language to be easily understood by other people that are fond of the BASIC language (that's why I didn't choose LISP - yet :D).
I also checked Prolog and it seems a pretty cool language (easy to do relations between data and easier than Lisp) but I'd like to hear what you think.
Thx
Edit:
I always confuse common lisp with Smalltalk. Sorry for putting these two langs together. Also what I meant by "other people that are fond of the BASIC language" is that I don't prefer a language with semantics like lisp (for people with no CS background) and I find Prolog a little bit more intuitive (but that's my opinion after I just messed a little bit with both of them).
Is there any particular reason not to use R? It's sort of a build vs. buy (or in this case download) decision. If you're doing a statistical computation, R has many packages off the shelf. These include many libraries and interfaces for various types of data sources. There are also interface libraries for embedding R in other languages such as Python, so you can build a hybrid application with a GUI in Python (for example) and a core computation engine using R.
In this case, you could possibly reduce the effort needed for implementation and wind up with a more flexible application.
If you've got your heart set on learning another language, by all means, do it. There are several good free (some as in speech, some as in beer) implementations of Smalltalk, Prolog and LISP.
If you're putting a user interface on the system, Smalltalk might be the better option. If you want to create large rule sets as a part of your application, Prolog is designed for this sort of thing. Various people have written about the LISP ephiphany that influences the way you think about programming but I can't really vouch for this from experience - I've only really used AutoLISP for writing automation scripts on AutoCAD.
At the risk of offending some, I have a hard time reconciling "easily understood by other people that are fond of the BASIC language" with any of the languages you mentioned. That's not intended as a criticism, but as an observation that each of the languages you mention has a style and natural idiom that's quite different from that of BASIC.
Smalltalk - pure OO from the ground up, usually (e.g. Squeak) coupled with an integrated environment that is simultaneously the IDE and the runtime. IOW you enter the Smalltalk VM and work inside it rather than just writing a text that is "source code".
LISP - much closer to functional programming (although with imperative overtones); the prefix notation is the first barrier to most people who "like" other languages, but the concept and use of macros is a much more substantial one.
Clojure - The combination of LISP, OO, and JVM integration makes this one even less BASIC-like.
Python and Ruby - I lump these together (at the risk of further annoying fans of either ;-) because they are both OO language with distinct notations that will take an outsider a bit of learning curve. The use of indentation-only for control nesting in Python and the Perl-like use of special characters in Ruby are often points of the complaint by newcomers. Although both can be written in an imperative style, that would be considered non-standard by seasoned users.
Prolog - This is the most unlike BASIC of all languages mentioned. All of the other languages you mentioned can be (ab)used in a semi-procedural style, but that is essentially impossible in Prolog. It requires a thorough understanding of, and comfort with, recursion to do anything non-trivial.
Code written with a "native accent" in essentially all of these languages (but especially Prolog, IMHO) will make use of idioms and concepts that are outside the norm for conventional BASIC programming. Put another way, if you pick one of these and then write code "with a BASIC accent" you've pretty much wasted the benefits that the language can offer.
I believe that all of them are worth learning for the concepts they can teach (or at least reinforce, depending on your background). But the similarity to Language X (for a wide range of values of X) is not what you'll get.
I can answer you partially
(aren't Smalltalk/Lisp/Clojure the same? - like python and ruby? -semantics-wise)
No, it is not. Smalltalk is OO language with message pass instead method calls. Lisp is Lisp ;-) It means truly functional language with the powerful macro system, OO support which is never seen in other languages (in CL) and many more features. Closure is Lisp-like language without many Lisp features but good integration to JVM. It's not supporting tail call optimization for example. And python or ruby are classic imperative OO languages with some limited functional ability. Note word limited. For example, Guido doesn't like functional programming and removed some functional features in version 2.5 and 2.6.
If you familiar with imperative procedural programming as in Python and you want to change your paradigm you should make your decision carefully.
Prolog is a very different language. It can be very hard to grasp, mainly because it relies heavily on recursion to do very basic tasks. If you are really willing then give it a go. It can be very powerful because it allows to expess relationships and solve complicated problems simply, typical examples are Towers of Hanoi or quicksort. It will change the way you think, which can be difficult if you are used to imperative languages.
If you're interested in Prolog then there's a free version of Visual Prolog available and the commercial version is reasonably priced.
It's a strong type offshoot of Prolog so isn't your classic implementation of the language, but has a respectable history - Borland marketed the DOS ancestor of it as Turbo-Prolog back in the late '80s.
It's also Windows only, but can be used to create standard Windows DLLs so you can link your code into a 'normal' windows programming language. I've never used the package in anger myself, but I did a couple of Prolog courses at Uni so have downloaded it from time to time to play with and look for possible uses and it looks solid enough. Might be just the set of cogs you're looking for.