Related
I am French, and am a former Certified Network Security Administrator.
I went back to university 3 years ago to achieve a Bachelor's degree in linguistics, and I am now going to enroll in a Masters Degree in Computer Science applied to Linguistics, with the objective of eventually trying to go through a Doctorate (but I'm not there yet :-) ).
The course will focus on speech recognition, automatic language translation, statistical analysis of texts, speech encoding and decoding, and information abstratction from textual sources.
The professors will let us use any computer language we want to use to code the algorithms and programs we will develop during the curriculum.
I used to develop web apps as a side gig for about 3-4 years and I am proficient in Javascript as I wrote software that used node.js at the server end and the browser at the client. I also have some familiarity with postgresql.
My current style of coding (if we can call that a style) is mainly procedural and I use object prototyping as my main way to create/manage objects in my code. I don't have much experience with object oriented language that use the concept of classes to manage the objects. Therefore I am pretty confident my current coding skills are definitely lacking in regards to what is required for me to write efficient code to deal with that stuff.
So my question is this : what would be the best computer language for me to learn in order to be effective in writing algorithms and data structure suited for the above mentionned linguistic areas?
Thanks in advance for your enlightened answers.
Sat Cit Ananda.
Your question is opinion based, so probably off-topic here.
In France, you have a lot of good courses on Ocaml which is developed at INRIA with several good books (notably, both in French, Developpement d'Applications en Ocaml by Chailloux, Manoury, Pagano; and Programmation de Droite à Gauche & vice versa by Manoury). J.Pitrat also wrote Textes, Ordinateurs et Compréhension; his latest book artificial beings: the conscience of a conscious machines will also interest you.
And learning several programming languages, not only one, is always useful (a single programming language is not enough to do Natural Language Processing; you need to learn several programming languages and several programming paradigms - both functional and object paradigms are useful, and also prolog). You could also start reading the SICP while learning Scheme. Learning more about Lisp-like languages thru Queinnec's book Principe d'implementation de Scheme et Lisp - the updated version of Lisp In Small Pieces will also teach you a big lot.
Java might also be useful (because some NLP libraries are available in Java). CommonLisp, C++2011, Haskell ... too.
Also take time to use and master Linux (and its programming) and free software.
In general, natural language processing requires a lot of computer science (and math).
For production NLP systems, Java seems to be the most common choice. It is a nice and safe language for beginner/intermediate programmers that scales well with codebase size, has a simple grammar and a vast standard library, and it is one of the most commonly used languages where software performance isn't the absolute top priority (or where performance can be scaled horizontally/distributed). I believe for example most of the higher layers of IBM Watson are written in Java. You'll also find it as one of the primary teaching languages in CS courses.
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 9 years ago.
Improve this question
There is a lot of hype around Haskell, however, it is hard to get information on how it is used in the real world applications. What are the most popular projects / usages of Haskell and why it excels at solving these problems?
What are some common uses for this
language?
Rapid application development.
If you want to know "why Haskell?", then you need to consider advantages of functional programming languages (taken from https://c2.com/cgi/wiki?AdvantagesOfFunctionalProgramming):
Functional programs tend to be much more terse than their ImperativeLanguage counterparts. Often this leads to enhanced
programmer productivity
FP encourages quick prototyping. As such, I think it is the best software design paradigm for ExtremeProgrammers... but what do I know?
FP is modular in the dimension of functionality, where ObjectOrientedProgramming is modular in the dimension of different
components.
The ability to have your cake and eat it. Imagine you have a complex OO system processing messages - every component might make state
changes depending on the message and then forward the message to some
objects it has links to. Wouldn't it be just too cool to be able to
easily roll back every change if some object deep in the call
hierarchy decided the message is flawed? How about having a history of
different states?
Many housekeeping tasks made for you: deconstructing data structures (PatternMatching), storing variable bindings (LexicalScope with
closures), strong typing (TypeInference), GarbageCollection, storage
allocation, whether to use boxed (pointer-to-value) or unboxed (value
directly) representation...
Safe multithreading! Immutable data structures are not subject to data race conditions, and consequently don't have to be protected by
locks. If you are always allocating new objects, rather than
destructively manipulating existing ones, the locking can be hidden in
the allocation and GarbageCollection system.
Apart from this Haskell has its own advantages such as:
Clear, intuitive syntax inspired by mathematical notation.
List comprehensions to create a list based on existing lists.
Lambda expressions: create functions without giving them explicit names. So it's easier to handle big formulas.
Haskell is completely referentially transparent. Any code that uses I/O must be marked as such. This way, it encourages you to separate code with side effects (e.g. putting text on the screen) from code without (calculations).
Lazy evaluation is a really nice feature:
Even if something would usually cause an error, it will still work as long as you don't use the result. For example, you could put 1 / 0 as the first item of a list and it will still work if you only used the second item.
It is easier to write search programs such as this sudoku solver because it doesn't load every combination at once—it just generates them as it goes along. You can do this in other languages, but only Haskell does this by default.
You can check out following links:
https://c2.com/cgi/wiki?AdvantagesOfFunctionalProgramming
https://learn.microsoft.com/archive/blogs/wesdyer/why-functional-programming-is-important-in-a-mixed-environment
https://web.archive.org/web/20160626145828/http://blog.kickino.org/archives/2007/05/22/T22_34_16/
https://useless-factor.blogspot.com/2007/05/advantage-of-functional-programming.html
I think people in this post are missing the most important point for anyone who has never used a functional programming language: expanding your mind. If you are new to functional programming then Haskell will make you think in ways you've never thought before. As a result your programming in other areas and other languages will improve. How much? Hard to quantify.
There is one good answer for what a general purpose language like Haskell is good for: writing programs in general.
For what it is used for in practice, I've three approaches to establishing that:
A tag cloud of Haskell library and app areas, weighted by frequency on Hackage.
Indicates that it is good for graphics, networking, systems programming, data structures, databases, development, text processing ...
Areas it is used in industry - a lot of DSLs, web apps, compiler design, networking, analysis, systems programming , ...
And finally, my opinion on what it is really strong at:
Problems where correctness matters, domain specific languages, and parallel and concurrent programming
I hope that gives you a sense on how broad your question is, if it is to be answered with any specificity.
One example of Haskell in action is xmonad, a "featureful window manager in less than 1200 lines of code".
From the Haskell Wiki:
Haskell has a diverse range of use
commercially, from aerospace and
defense, to finance, to web startups,
hardware design firms and lawnmower
manufacturers. This page collects
resources on the industrial use of
Haskell.
According to Wikipedia, the Haskell language was created out of the need to consolidate existing functional languages into a common one which could be used for future research in functional-language design.
It is apparent based on the information available that it has outgrown it's original purpose and is used for much more than research. It is now considered a general purpose functional programming language.
If you're still asking yourself, "Why should I use it?", then read the Why use it? section of the Haskell Wiki Introduction.
Haskell is a general purpose programming language. It can be used for anything you use any other language to do. You aren't limited by anything but your own imagination. As for what it's suited for? Well, pretty much everything. There are few tasks in which a functional language does not excel.
And yes, I'm the Rayne from Dreamincode. :)
I would also like to mention that, in case you haven't read the Wikipedia page, functional programming is a paradigm like Object Oriented programming is a paradigm. Just in case you didn't know. Haskell is also functional in the sense that it works; it works quite well at that.
Just because a language isn't an Object Oriented language doesn't mean the language is limited by anything. Haskell is a general-purpose programming language, and is just as general purpose as Java.
I have a cool one, facebook created a automated tool for rewriting PHP code. They parse the source into an abstract syntax tree, do some transformations:
if ($f == false) -> if (false == $f)
I don't know why, but that seems to be their particular style and then they pretty print it.
https://github.com/facebook/lex-pass
We use haskell for making small domain specific languages. Huge amounts of data processing. Web development. Web spiders. Testing applications. Writing system administration scripts. Backend scripts, which communicate with other parties. Monitoring scripts (we have a DSL which works nicely together with munin, makes it much easier to write correct monitor code for your applications.)
All kind of stuff actually. It is just a everyday general purpose language with some very powerful and useful features, if you are somewhat mathematically inclined.
From Haskell:
Haskell is a standardized, general-purpose purely functional
programming language, with
non-strict semantics and strong static
typing. It is named after logician
Haskell Curry.
Basically Haskell can be used to create pretty much anything you would normally create using other general-purpose languages (e.g. C#, Java, C, C++, etc.).
For example, for developing interactive, realtime HTML5 web applications. See Elm, the compiler of which is implemented in Haskell and the syntax of which borrows a lot from Haskell's.
This is a pretty good source for info about Haskell and its uses:
Open Source Haskell Releases and Growth
I know the topic I started is too subjective. But I just
wanted some expert guidance learning new languages. I've
been working with .NET languages (C#, VB.NET) quite a few
years (around 4). And it's been years since I stopped
experimenting with new laguages after settling down in a job.
Few weeks back I just started working on my personal
project, which I am going to spend much time in the coming
months. During the analysis I found that I just can't
accomodate the luxuries of cost effective languages,
programs and IDEs. So I planned to move to the wide spectrum
of open source languages and tools.
And when I look at the current choices, I was just
speechless. Hundreds of promising open languages and
toolsets and I found it's hard to choose. And I can't even
think of evaluating each language myself (it's a worst
nightmare). Currently I started with Mono (for the sake of
C#).
I felt this is going to be a good chance for learning new
programming languages and models. So I am open to any
language that offers me the following:
more functional
dynamic language features
better language elegance (like lambdas, Haskel like SQL syntaxes or C# LINQ)
better community support
must be open
easy interaction with the web
support for parallelism and concurrency (easy threading)
better in performance
proven web frameworks
better IDE support (I got this ease of use syndrome after using years of MS tools)
I love the Haskel and Erlang language programming approach.
But I don't have a clue about these languages' web stack and
concurrency mechanisms.
EDIT:
i would appreciate few reasons along with your choices. It will be really helpful.
I think that all these meet your requirements:
Groovy + Grails or
Python + one of these Web Frameworks or
Ruby + Rails/Camping/Merb/Sinatra or
Scala + Lift
My bet is that you'll get the groovier IDE experience with Groovy (and it's Groovy Eclipse Plugin).
Learn OOP, DesignPatterns, understanding of Algorithms... the rest is "just" language. You will find, if You learn 5th... 8th language there are some similarities, some prons and cons... what You need learn is to move business needs to some technical platform.
Weird. I can't believe noone has suggested Python yet.
These are not new languages, but I vote that if you have experioence with them, then you will be a better programmer in whatever language you choose to use:
Smalltalk (or Objective-C), otherwise you have not experienced OOP.
Lisp for functional, reflective, meta programming.
Prolog for logic programming.
All of these are quite far from your basic C-like language, both in concept and syntax.
Alan Kay invented OOP and Smalltalk, he is quoted as "C++ is not what I intended", and C++ is what most of todays OOP-languages mimics. C++-style OOP is merely syntactic sugar ontop of structs with function pointers. OOP can be so much more. Ruby is closely related, but you would miss out on interleaved method names.
Lisp has been around since 1958, and the fans keep saying that everything that gets added to any new language is just something borrowed from Lisp. Maybe not strictly true, but somewhat accurate, Lisp had garbage collection 50 years ago. Easiest way to experience it today would be to write something in Clojure.
Prolog is based on formal logic. Prolog is declarative, where you declare facts and rules and is executed by constructing queries on these relations. Kind of like puzzle games in some magazines :).
In the .NET world sounds like you're talking either F# and IronRuby. IronPython might also suit your needs.
Personally I'm going to give a vote for Python, Ruby and Mono.NET.
Of the three you were probably on the right track when you said you looked at Mono; it's C# (which you have previous experience with), there are good, free IDEs available SharpDevelop being one which makes it cheap and there's a really solid community behind it all.
You don't really say what kind of programming you want to do. Do you already know C/C++? If not, I'd really recommend learning those instead of anything new and fancy.
However, if it's new and fancy that you want and you'd like to be able to write native apps, then I'd have a look at:
D
It's similar to C++, but hopefully better in many ways. It has the advantage of out performing most other new and fancy languages and most of the features on your wish list.
With "Polyglot" programming techniques becoming more relevant, it is almost a necessity to use the "right" PL for the problem. However, learning new languages takes time which usually most project team can't afford. What is the best way to learn a new programming language? Is there a common set of problems that can be solved to reach a certain level of competence?
Well, it depends what you want to do. (web, db, whatever).
Generally I'd want to know:
What's the library like, how do I reference it
What ORMs are there
What build/deployment platforms exist for it
How does it handle updates
How do I do general things, like:
DB Access
File things
Display UI's
and so on.
Really, learning is only by doing -- you need a project that you can use the given language for.
Project Euler is the first thing to come to mind as an oft-used set of problems to try in a new language, even if it's not something I've ever tried.
If the language is another JVM or CLR hosted one, the issues about learning the environment can be set aside -- you can use all your familiar APIs in your Clojure/Scala/F#... code -- and concentrate on the syntax and idiom.
Otherwise, you're probably using the new language because it has a good fit for the particular problem you want to solve (e.g. native code and functional -> Haskell; distributed and concurrent -> Erlang) so the fit of the feature set is known in advance but you have the extra load of learning the standard APIs. And that's what prototyping is for.
The book Programming Challenges and the associated website provide a large list of algorithmic problems, with automatic online judging in several languages (Java, C, C++). Any algorithm textbook can give you lots of examples of basic data structures and procedures to try and implement, which is often a nice way to get some practice with basic language syntax and features. My personal favourite for this is The Algorithm Design Manual, which is language agnostic, but there are plenty of good language-specific books available as well (Mastering Algorithms in Perl or Data Structures and Algorithms in Java, for example).
If you're interested in a general set of mathematical problems to try and solve, Project Euler is a great resource.
For more day to day problems, I find the cookbook approach most helpful. For example, both Perl and Python have excellent O'Reilly cookbooks, as well as online resources, which provide short examples of many common and important problems. As mentioned in another answer, the key here is to find canonical examples of basic features you will need, particularly by leveraging what's available in standard libraries. I usually try and build up my own small library of examples as I go along, e.g. a socket example, a DB access example, a file reading example, a simple numerical solver, etc, which I then pillage for ideas when it's time to write production code.
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance.
Closed 10 years ago.
In your opinion, what are the most important languages for a programmer to know? I'm talking about concepts, not about how practical the language is.
List the languages and a reason. For example, Lisp for functional programming, JavaScript for prototype-based OOP, etc.
Must know:
1) C (system programming, understanding of machine architecture)
2) Perl or Python or Ruby (practical day-to-day tasks)
3) Java or C# or C++ (OOP, and quite important to get a job these days)
Really important:
1) Haskell or ML (functional programming; changes the way you think)
2) Lisp or Scheme (power of macros)
Nice additionals:
1) Forth (very low-level, explicit stack operation + joy to write your own interpreter)
2) Assembly languages (know how your CPU works)
3) Erlang (parallel processing)
4) Prolog (logic programming)
5) Smalltalk (true OOP and true interactive developent)
The assembly languages of as many chips as you can learn for low-level knowledge.
C to learn more practical knowledge of low-level workings, since almost all languages are implemented in C.
C++ for object-oriented programming on top of the low-level goodness of C.
Pascal to learn how to work with strong typing.
Java to see how you can shield yourself from low-level concerns.
Perl to learn regular expressions, weak/dynamic typing, and other good things.
Python to see strong/dynamic/duck typing.
Ruby to see how object-orientedness works on top of Perl-esque weak/dynamic typing.
Common Lisp for that functional enlightenment.
Scheme for the emphasis on recursion.
Emacs Lisp so you can extend Emacs.
Haskell to see pure functional programming done right.
APL so you learn how not to write code.
COBOL so you can make mad money maintaining legacy code.
Erlang to really learn about concurrency. (Thanks to Pete Kirkham for correcting me.)
Scala for functional programming on the JVM.
Clojure for a Lisp-like functional language on the JVM.
Prolog to understand logic programming.
D so you can see why all the D fanatics are always so pro-D.
C# so you can program for .NET (and Mono).
F# so you can do functional programming on .NET.
Forth for stack-based languages.
PHP so you can see how not to create a language. (Just kidding. Learn PHP beacause it's really useful for web development.)
JavaScript because it's basically the language for client-side web scripting.
bash for a good, general-purpose scripting language.
Visual Basic so you can read the code your boss wrote. =)
INTERCAL for "fun."
brainfuck so you can torture your friends.
LOLCODE so you can convince them to still be your friends after you subject them to brainfuck.
...And so on.
C for understanding how the most other language(-implementations) and operation systems are implemented
I think the three languages that best combine practicality and coverage of programming concepts would be
C
Python
Javascript
From these languages you can learn low-level system programming, pointers and memory management, static typing, dynamic typing, high-level scripting, event-driven programming, OO programming, functional programming.
Obviously you're not going to get as pure an intro to functional programming as you would with, say, Haskell, but you can learn a lot of the concepts in Python and (especially) Javascript.
It is not the languages rather the paradigms you should know:
procedural (like C, Pascal)
object-oriented (like Java, C++, Smalltalk)
functional (like Lisp, ML, Scala)
If you understood one of these paradigms in one language, it is easy to learn another language in the same paradigm. And there are even more fields specially supported by languages that are important to understand:
parallelism (in Erlang or Scala)
declarative templates (e.g. in C++ or Prolog)
dynamic languages (e.g. JavaScript)
At at last you should always know what goes on under the hoods, so you better have a look at assembler.
I would say:
C or Assembler to understand how the processor work.
Smalltalk (or C#, Java, Python, Ruby, etc) to understand object oriented programming.
Lisp (any Lisp, Scheme, Common Lisp, Clojure) to understand high level programming, meta programming (macros), etc.
Haskell to understand type inference and other functional concepts.
If you are into distributed systems, I'll consider learning Erlang too. Those are the language I recommend learning, even if only superficial, only for the sake of learning even if you never use them to write a real application.
Its best to know a variety. This gives you a better overall perspective of the art of programming, plus, you get to choose the best tool for the job.
My current list would be:-
C - programming close to the machine.
Python - programmers nirvana.
Perl - for when s**t happens.
Java - cause it will keep you in work.
C# - cause it will keep you in work.
lisp, scheme or something functional to get your brain out of a rut.
SQL - for managing large data sets.
JCL, COBOL, VAX DCL, CShell VB - just to remind you how bad things could be!
A good short list:
C for the machine concepts
Haskell for functional programming
Smalltalk (or maybe Ruby or Simula-67) for object-oriented programming
Prolog for logic programming
Icon for backtracking and mind-blowing string processing
Bourne shell for Unix scripting
Might also include
Scheme for macros
Awk or Perl or ... for regular expressions
FORTH for tiny bootstrapping postfix wonderfulness :-)
For concepts, I would choose assembler and Java.
The first because you should know in intimate detail how machines work.
The second because you should understand how to shield yourself from the intimate details of the way machines work :-). By that I mean a language with a rich set of data structures at hand (so really Java could be Python, C++ with Boost and so on).
Well. I'd say learn C and javascript. They are most widely used languages.
You might want to learn Java/some .Net language and/or python/ruby: they're more convenient, tho.
This have the advantage that all those languages are reasonably well designed.
For example, don't learn PHP or C++ because they're a mess. They're used widely, you might want to learn them one day, but they can seriously mess with your mind.
Limbo - a programming language with concurrency and channels, what C should have evolved into. ( see also D, another C successor )
No-one else seems to be mentioning any declarative languages, so here are a few:
Prolog - a declarative language for logic programming
Modelica - a declarative OO language for modelling systems.
XSLT - a declarative language for transforming XML.
For parallelism, you don't get much wider than shader language, and the related OpenCL - typically 512 processors in parallel on a high-end desktop, rather than Erlang's 4 processors in parallel ( though with many scheduled processes ).
This is a good question. I know a lot of people, myself included, get stuck in a rut where we are just churning out code like one would churn out burgers at a McDonald's. Coding becomes too mechanical—we understand how to get things done, but often times we forget why these things get done behind the scenes.
In my world it's been C++/C/ObjectiveC that have taught me the most, even though I write C# every day at work.
For the most part, learning C++ has helped me learn about memory management and how the various objects are stored in memory, etc.—the actual science of programming. What really opened my eyes was the Programming Paradigms class offered at Standford that you can get off of iTunes and I think YouTube.
You already mentioned two, here are a few more:
Java: Java is a good example of OOP 'cause you HAVE to use oop, and it's designed from the ground up to be an OOP language.
BASIC: Although obsolete, it's a good example of procedural languages and it has a very easy syntax.
For web programming: PHP, ANSI-SQL, javascript.
Some people may argue that HTML and CSS are not programming languages. But they are esential for web app development.
For Desktop app development, C++ with the Qt Framework. Qt gives C++ the additional "cross-platform" fizz.
Pascal or Basic for start and to master basics of procedural programming.
At school we learned Haskel for functional programming.
And then one should try assembler or C for getting deep and Java for OOP.
A have no arguments for this - that's only my taste and what I tried.
I would sat C/C++ cause it sets allot of basics for allot of other languages used around the world.
Personally I learned Java/JavaScript->VB(short course fortunately)->C#->C++, with a pinch of PHP and Perl on top of it all. Best part of that line was C# and then moving behind the scene in C++.
Look for a set of different programming languages:
C++ / C# / Java etc.
C / Assembler
Python, Ruby, Lua, Perl etc.
sh, awk, sed, regular expressions
Prolog (or similar)
Haskell / Lisp etc.
It doesn't really matter which ones you choose, but that you choose one from each "category".
Pseudocode for reading/writing documentation. :p
I think knowing C/C++ or any other low level language will help you with understanding the impacts of how managed/script languages works helps. Such as pointers will demystify variable references.
If you want to understand computers and the underlying hardware, C is the single most important language, commonly said to be the lingua franca of computers. The Stackoverflow podcast tends to cover this at least once a week.
There seem to be enough answers on this, so I'll just leave it at that.
You should know a scripting language so that you can prototype your applications faster.
Maybe python/ruby/perl . Groovy is also an alternative if you're a Java guy that likes his java libs.
Alot is already mentioned but I would definitely add C++ (already done) for the following reason:
C++ for learning how to use pointers and get the main idea about them.
Although there is the discussion if c++ is still the 'better' language (all depends on what you want to make really) it never hurts to understand pointers, just in case you do need them ever.
Having a scan through the answers so far I'm surprised I've not seen any mention of actionscript.
I think if you learn some C/C++, then some Java then that should prepare you for pretty much all of the decent languages out there.
I prefer to see my code in action and I find Actionscript 3 (not 2 or 1) along with Flex (which is MXML) great for quickly demoing visual concepts.
So C & Java helps to learn the syntax of the majority of languages.
Actionscript 3 (very similar to java syntax) & MXML for being able to express you code visually very quickly.
C - low level system programming plus to understand generic concepts about how memory is handled, stack, stack frame, heap and so on. These are helpful for understanding higher level languages
C++ - mainly std library (separation of generic algorithms and containers), templates, namespaces, but OO concepts as well. Templates meta programming will give you completely different perspective on writing software, this is compile time execution versus run time execution. Templates inheritance (static vs dynamic polymorphism).
Python - dynamic type system, list comprehension - functional programming (?), no memory management for developer, spaces for indentation
Objective-C - message dispatching (can dispatch to nil), dynamic type system (static as well), late binding, OO concepts
It may sound crazy, but I first learned to program writing VBScript macros for windows. I used a template, which is available here http://vbscript-macro-template.blogspot.com/ and I just added to it and also tried to understand everything that it did. Now, several years later I am writing my own desktop and database applications.
You should start from C and go through C++, Java and the goto WinForms,
Then better goto .NET