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I'm well educated in the C++ programming language regarding syntax, STL, etc. I haven't done any true projects with it yet other than some college courses. My goal is to start writing progams but attempt to keep it to industry best practices. One of my main goals is to work in the game industry. A door is opening which lead me to ask these questions.
Are C++ game developers usually limited on using all the C++ features? Is it true more or less for each platform?
Is STL used these days in the environment, or should I avoid it?
Do they treat C++ as "everything must be an object" or is it a mix of paradigms?
Any features they tend to not use?
Is C still used, and is it good to show a project completed in it?
I did talk to a famous game designer and he said they don't use STL and said to use basic encapsulation with classes, but he said not to use all other advanced C++ features. The idea is to keep it simple. Is this common?
Thanks in advance!
Bear in mind that "games development" covers everything from phones to websites to PSPs and DS to Wii, Xbox, PS3 and PC/Mac, so the answers you get may vary from one product/developer/platform to another.
1) Yes. Games development can mean that you have to use a particular compiler for your target platform, which may not support some of the "newer" features of C++. You may be restricted on which libraries the development studio will allow you to use. In addition, hardware restrictions on some platforms may influence how you code (e.g. on some systems the cost of virtual functions can be excessively high compared to a PC, so your designs can be restricted away from pure OO for performance reasons. Some systems have limited resources (memory, disk, etc) which will influence your design a lot. On the Playstation3 you may need to write vector-processing SPU tasks rather than traditional single/multithreaded code. etc).
2) Yes. (it's commonly used, as there's usually no point wasting time rolling your own, probably less efficient, equivalents)
3) A mix. Generally in games the key goals are (in rough order): Deliver the impossible on time (why are you going home now, it's only 10pm?), deliver high performance, and try not to crash.
4,6) Generally keep the code simple and flexible so you can develop fast and change to suit the producer's latest vision. You usually have tight deadlines so a lot of design and careful coding tends to be difficult to achieve. The industry unfortunately tends to work on the "churn out the code quickly so we can throw it away and start on the next product", although it is slowly coming around to the idea of re-usable libraries (and more methodical professional practices like unit tests, etc).
A typical scenario is to be asked to code up a quick and dirty demo for the boss, and then when you think you'll be able to throw it away and write it properly, the boss says "we don't have time to rewrite something that already works, start on the next level". So if you're asked to be quick'n'dirty, try not to burn too many bridges or you'll regret it.
5) You may use C, but it depends on the platform and the development house. These days most devlopment will be C++ even if parts of the code are effectively "little more than C" in terms of syntax and features used.
These questions are not at all unique to game development. You will find they vary as much by field as they do by company. I can think of two game design firms that use STL off the top of my head, and also of a few that don't.
1) Define "all C++ features". They typically don't use goto, if that's what you mean.
2) Yes STL is used. You shouldn't avoid it, or not avoid it - use the tools you need to get the job done every time you have a job that needs to get done. Keeping what you use in line with other ways similar problems were tackled -within that project or context- is importent.
3) Depends where you are, both in games and out of games. Some are graduated C guys who want things more C like. Others are C#/Java guys who are more OO (Object Obsessed).
4) goto
5) Yes, and yes. Knowing more than one language is always a good thing. Even if it's just C to C++.
6) Again, use the tools available to solve your problems. Keeping it simple is good when you can, sure.
1) No limitation really, except that you should follow programming guides so as to use them properly (i.e. avoid dinosaurs when using goto's).
2) Yes, its used, and Boost also (which is kinda the preview of the next STL).
3) Mix, always a mix. To say that C++ is only object-oriented is to misunderstand the language. "Everything is an object" is really a Java (or things like it) thing; check out C++'s concept of POD, as an example of how not everything is an object.
4) same as 1)
5) It is used, but as far as I've seen, no new project is being created in C.
6) No... he kinda said the opposite of what I've just said.
Generally, some parts of C++ are limited for patform and performance reasons.
Exceptions and RTTI are normally disabled. Exceptions are expensive when they unwind the stack, and RTTI uses too much memory. Lack of exceptions is particularly a pain because rather than come up with another error handling system, programmers tend to just return NULL. :)
Floats are used almost exclusively over doubles, for performance reasons.
Virtual functions and inheritence can be used, but the virtual table lookup can be costly so sometimes it's optimised out.
The STL can be used, but you normally have to write your own allocators to avoid fragging memory (see http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2271.html). It's more common to see custom containers - of varying quality. I've never come across boost being used in a console project.
Most code is OO, almost to a fault.
Best C++ programming practices in professional game development environments?
The question is too broad.
Are C++ game developers usually limited on using all the C++ features? Is it true more or less for each platform?
No, or at least extremely unlikely. Depends on platform/compiler.
Is STL used these days in the environment, or should I avoid it?
You shouldn't avoid it, but:
you'll definitely need a profiler if you want stl containers
STL containers are extremely slow in debug builds. This might be a problem, because if you're frequently accessing them, there will be a huge performance drop (say, from 300 fps to 50) in debug build (when compared to release build). Debug code is already slower, and stl containers have large amount of "security check" in debug build.
Do they treat C++ as "everything must be an object"
Every idea is bad if you take it to extremes. "Everything must be an object" is one of those.
Any features they tend to not use?
Why? Unless there is a compiler bug or performance loss there is no point in avoiding feature. Besides, there are commercial 3D games written in java, so I see no point in avoiding feature of compiled language.
Is C still used, and is it good to show a project completed in it?
Some opensource projects may use C, but I can't remember a game completely written in it. There is Q3 engine, but afaik it is mix of C/C++.
I did talk to a famous game designer and he said they don't use STL and said to use basic encapsulation with classes, but he said not to use all other advanced C++ features.
They could decide to avoid stl simply because containers are slow in debug build. It is unclear what exactly you call "advanced C++ features". Also, keep in mind that he is designer, not programmer.
The idea is to keep it simple. Is this common?
The idea may or may not be common, but it is a correct idea for a small teams. With limited human resources everything should be made as simple as possible - to reduce development costs. If you stick to concept like "everything should be an object", decide to build "nice-looking" class hierarchy, etc, AND if you have limited resources, then you are doomed - It is very possible that you'll never finish your project and will be rewriting code forever and trying to decide what should be derived from what. Needless project flexibility and extensibility may kill small project. Game engine doesn't have to be complicated.
Large teams may afford complex solutions, but complexity leads to additional bugs. For example, you could look at sims 3 - it has a VERY advanced system (object "plugins", game resource management, GPU resource management, content "streaming", etc, and I think they even put game logic into a few .NET modules that are stored within game archive...), but extensibility of the system resulted in mountain of bugs after certain updates.
Electronic Arts as one example uses STL, but felt compelled to create their own version of it called EASTL.
Are C++ game developers usually limited on using all the C++ features? Is it true more or less for each platform? These days, I think it's pretty good on the main console platforms but if you were developing for mobile devices I doubt it's quite so even
Is STL used these days in the environment, or should I avoid it? It is used and should be used... but some people don't trust it because in the past STL support was much less even, and sometimes had performance problems
Do they treat C++ as "everything must be an object" or is it a mix of paradigms? Far too general. Varies from person to person and company to company. On average, game developers have a reputation for being less focused on software engineering and more on hacking code, but that's far too generalised to really be of use. However spouting for 30min about design patterns and frameworks and abstractions in an interview is probably not a wonderful plan
Any features they tend to not use? STL still has a bad rep amongst those who worked on older platforms. Exceptions also and RTTI, probably sicne they weren't well supported (and maybe are still not)
Is C still used, and is it good to show a project completed in it? I'm sure it is, and if you have a project then show it, but it's not anywhere near as widely used as C++
I did talk to a famous game designer and he said they don't use STL and said to use basic encapsulation with classes, but he said not to use all other advanced C++ features. The idea is to keep it simple. Is this common?
That view is pretty common but it doesn't mean it's right. You might want to tread carefully to avoid upsetting a 20-year veteran who has not moved with the times
I'm going to assume you're referring to people who develop full-price games for consoles and PC.
"Are C++ game developers usually limited on using all the C++ features?"
I think most are avoiding exceptions, RTTI, and many avoid the STL part of the standard library. They're probably using templates, though not much metaprogramming. I don't think this varies much across platform. But it does vary from company to company.
"Is STL used these days in the environment, or should I avoid it?"
It is used by many, but not all. Don't avoid it - it's a useful tool that is very good at the tasks it is designed for. Just make sure you can get by without it.
"Do they treat C++ as "everything must be an object" or is it a mix of paradigms?"
Different places will work in different ways. There's nothing intrinsic to object orientation in C++ that makes it good or bad for game development. Bear in mind that there is often legacy code or 3rd party libraries that are written in C or designed to be operated from C, so it's very rare that you'll have C++ throughout.
"Any features they tend to not use?"
I think we covered this above.
"Is C still used, and is it good to show a project completed in it?"
Yes, and no. Life is too short to spend on mastering every related language and dialect before you get your first job. Showing the ability to use a C-style library (eg. SDL) should suffice. Obviously if you set your goals on joining a company that just uses C, you will have to consider that.
"I did talk to a famous game designer and he said they don't use STL and said to use basic encapsulation with classes, but he said not to use all other advanced C++ features. The idea is to keep it simple. Is this common?"
See above. Incidentally, game "designers" typically aren't programmers, so watch your terminology. If you apply for a game designer role, you won't usually be showing programming skills.
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Let's say you have a company running a lot of C/C++, and you want to start planning migration to new technologies so you don't end up like COBOL companies 15 years ago.
For now, C/C++ runs more than fine and there is plenty dev on the market for it.
But you want to start thinking about it now, because given the huge running code base and the data sensitivity, you feel it can take 5-10 years to move to the next step without overloading the budget and the dev teams.
You have heard about D, starting to be quite mature, and Go, promising to be quite popular.
What would be your choice and why?
D and Go will probably just become as popular as Python and Ruby are today. They each fill a niche, and even though D was supposed to be a full-fledged replacement of C++, it probably will never acquire enough mass to push C++ away. Not to mention that they both aren't stable/mature enough, and it's unknown whether you'll have support for these languages in 10-20 years for the then-current hardware and operating systems. Considering that C/C++ is pretty much the compiled language and is used in the great majority of operating systems and native-code applications, it's very unlikely that it'll go away in the foreseeable future.
C and C++ are a pretty much unbeatable combo when it comes to native/unmanaged/"lowlevel" languages.
Not because they're the best languages, far from it, but because they're there, they do the job, and they're good enough. There's little doubt that D, for example, is better than C++ in most respects. But it fails in the most important one: Compatibility with all the existing C++ code. Without that requirement, most of that code would be written in a managed language today anyway. The only reason so many codebases use C++ today is because they used it last year, and it'd be too much of a pain to switch to something else. But if and when they switch, they typically don't switch to D. They switch to C# or Java or Python.
The problem for D and other "upcoming" languages competing for the same niches, is that while they're better, they're not groundbreaking enough to motivate people to actually switch to them.
So C and C++ are here to stay. C is unlikely to evolve much further. It is as it is, and one of the niches it has to fill is "simplicity, even for compiler writers". No other language is likely to beat it in that niche, even if they never revise the standard again.
C++ is evolving much more dramatically, with C++0x getting nearer, and they've already got a huge list of features they want to do afterwards. C++ isn't a dead end in any way.
Both languages are here to stay. Perhaps in 50 years other languages will have replaced them, but it won't happen this decade.
I currently use D regularly. I wouldn't recommend it yet for people writing production code because it's too bleeding edge. I get away with it because most of my code is research prototypes in bioinformatics. However, the language is starting to stabilize. Andrei Alexandrescu is releasing a book titled "The D Programming Language" next March, and right now there is a push to stabilize the spec for version 2 of the language in time for the book.
While D is not a formal superset of C, it is what I'd call an idiomatic superset except for the lack of a preprocessor. In other words, any code written in C proper (ignoring the preprocessor), can be trivially translated to D without a redesign, because C concepts like pointers and inline ASM are there and work the same in D as in C. D also supports direct linking to C code and the D standard library includes the entire C standard library.
Also, despite D's lack of libraries because it is still a bleeding edge language, it's a library writer's dream because of its metaprogramming capabilities. If it takes off, it will probably have some pretty impressive libs. For a preview of this, see std.range or std.algorithm in the D2 standard library (Phobos). As another example, I implemented an OpenMP-like parallelism model (parallel foreach, parallel map, parallel reduce, futures) as a pure library in D, without any special compiler support. (See http://cis.jhu.edu/~dsimcha/parallelFuture.html)
Given that you're mostly interested in the long term, I'd say give D 6 months to stabilize (given Andrei's book and the current push to stabilize the language, version 2 should be stable by then) and then take a hard look at it.
Edit: Now that the core language spec is relatively stable and the focus has turned to toolchain and library development, I would recommend D for small production projects unless you are in a very risk-averse environment. Larger projects that absolutely must have good toolchain and library support should still wait, though.
If you believe in the lean manufacturing principles, you should strive to "decide as late as possible". The moment should be the last responsible moment, meaning the moment at which failing to make a decision eliminates an important alternative.
I think this principle can be applied to your situation. Instead of committing now to a language (that you don't even know will be around in 10 years), you should keep your options open. Maybe refactor some of your code so it is a bit more generic or is built on more abstractions, so that when it is indeed required to migrate, the process will be easier.
Stick with C and C++. I don't see it going the way of COBOL, it runs as well as anything, and you'll have no problem finding people to code in C and C++.
C++ -- it is relatively young and updated... It has a big number of compiler vendors and got
improved all the time.
C -- it would live for a long time filling the gap between assembler and higher level languages. It is also very simple and easy to implement language, so it would remain the
first language for various "strange" architectures like embedded or extremely new ones.
D is promising but still very new and unstable specifications and libraries.
Go was born few weeks ago... Never use anything of version 0 for big important projects. Also it is significantly more limited the C++ or D.
2019 update: C++ will stay around for the next 10 years... (if not, I will correct this answer, when it will not be relevant any more....)
the reason companies works with COBOL today is b/c they already have millions of COBOL code written. if the could throw it - they will do it at once, on the other hand - companies work with C/C++ as part of their needs and new projects using this language b/c they can't / don't want to use java/c# any other framework based language - so COBOL is not the analogy here.
Like dsimcha said the D way is currently risky. Yet the language has a huge potential, it is low-level and i've experienced drastically better productivity with D (instead of C++). Perhaps what people feel with dynamic languages.
Go is so much blog-marketed it seems like a joke to me.
Dispatching an interface method is not trivial, and actually slower than dispatching a regular single-inheritance method.
If you'd have a huge codebase the decision is of course more difficult, I would advise only to switch for new projects, not for existing ones.
I wouldn't concentrate on a language but more on the libraries surrounding it. C++ in combination with the boost libraries are an excellent choice. People who develop in C++ tend to have a better understanding of computing, I myself started of with Java which made my life easier by hiding a lot of fundamental stuff, which is good, however I only really started to understand programming once I learned C/C++ (pointers etc).
I do recognise that C++ can be hard (e.g. memory management) so I think it's good to have a 'add on' language where performance is not essential and readability (==maintainability) scores high: I recommend Python for this.
There are countless machines running C++ software, I don't see them shutting down all at once. If C++ will go in the way of COBOL there will be a huge market for application migration. There will be specialized tools developed to translate C++ applications to the popular language of the time (Z++ ???).
So I guess the best advice is to cross that bridge when you come to it.
Check out Intel® Cilk++ Software Development Kit if you want to spark your interest in C++/Multi-Core development. I don't see C or C++ going away anytime soon either.
Comparing C* to Cobol is questionable
Comparing C* to Cobol may lead to the wrong conclusion. C was perfect for its day, a huge leap forward on its introduction, and it still gets the job done today.
I would sum up Cobol on my most charitable day with "nice try".
C and C++ will survive for a long time because they fit the bill well as implementation languages. This won't ever really change.
Also, consider that the main negative issue with C/C++ is the lack of memory safety. This tends to be less and less of a problem as codes mature. This means there will not be a serious reason to replace the old codes.
I expect that software systems will grow outwards from C. Look at the hierarchy today:
application written in a framework such as Rails
application back-end written in Ruby, PHP, Python, C#, whatever
Ruby, PHP, Python, or C# run-time implementation (written in C*)
OS kernel (written in C89)
I don't think the old layers will vanish, and I think legacy higher layers written in C and C++ will simply be supported that way for an indefinite period of time, eventually being phased out for their replacements written in Ruby, Python, C#, or a future development.
We have no idea if Go will find acceptance. Just being by Google is probably not going to be enough.
D? Well, some nice things are being said about it but it won't be taking off either. No user base to speak of. D is #20 in popularity on the TIOBE Index, and dropping fast.
You may say that a language's popularity has little to do with how well it's suited for your company's work. But it has a lot to do with how easy it will be to find people qualified to program in it.
Java is on top and I would be surprised if it went far away in the next 20 years. It's not considered a systems programming language but performs well enough that there are few tasks you'd do in C++ that you couldn't in Java. Certainly these days nobody is willing to task human programmers with the job done (flawlessly and often more effectively) by the garbage collector. I for one considered Java a significant step up from C++ in terms of programming effectivity.
I'm quite impressed by Ruby. It's an elegant, expressive language: You can accomplish a lot with not too much code, yet that code is still mostly legible. One of Ruby's main principles is to be consistent and not hold surprises for the developer. This is an extremely good idea, IMO, and boosts productivity. At the time of the big Rails hype (which may still be ongoing), I made a wide berth around Ruby because its reference implementation is abysmally slow. However, the JRuby folks at Sun have made it blazingly fast on a JVM, so now it's definitely worth some consideration. Ruby provides closures and a good handful of functional programming capabilities (see below for why this important), though it's not really considered a FP language. TIOBE index: 10 and rising.
Something to consider for the future is the fact that CPU makers have run up against a performance limit imposed by physics. No longer is there a 30% faster CPU available every Christmas, as it was in the past. So now to get more performance you need more cores. Software development will need all the help it can get in supporting multi-core concurrent programming. C++ leaves you mostly alone with this, and Java's solutions are horrible by modern standards.
In view of this, there's a certain trend toward functional programming (which eliminates much of the hassle associated with concurrency) as well as languages with better concurrency support. Erlang was written specifically for this and for the ability to swap code in a running program (Ericsson wanted incredible uptimes). Scala is similar to Java but with much stronger support for functional programming and concurrency. Clojure, ditto, but it's a Lisp and it's not even in the top 50 (yet!!).
Scala was developed academics, and shows it: It's sophisticated and downright pedantic about data types; it tries to be the Swiss Army Knife of programming languages. I believe a lot of medium-smart programmers will have trouble getting a grip on Scala. Ruby is less FP and doesn't do so much about concurrency, but it's pragmatic, and fun and easy to get stuff done in. Also, running on the JVM, there is an enormous amount of code readily available in Java libraries, which Ruby can interface with. So:
My bet would be on Ruby, with an outside chance on Scala. But there are plenty of alternatives!
Java. For most low level things Java is fine these days. Why go with a partial solution to C/C++ such as D or Go when you can have something as safe and easy to develop with as Java? If you are looking for a real time solution, D and Go are definitely not it, not to mention they are probably even less supported than Java.
Java is now a system programming language. I don't see how you can consider anything with unsafe constructs such as pointers "next gen". The only reason those insecure constructs ever existed is because it was the pragmatic approach to building a turing complete language. There was no concern of representing the memory in discrete objects, because they just wanted to build something that worked. There are already hard and soft realtime applications in Java, a variety of hardware bytecode processors, and over 2 billion mobile devices running Java. At most all you would have to do is add some constructs for interoperability with devices, which wouldn't be that much code; even in C/C++ you'd still have to add these constructs...
What are you programming? 8-bit microcontrollers with 1KB ram? In that case, it would be pointless to use anything other than the assembler for that platform...
Do you think VB is a good language for AI? I originally did AI using mainly Lisp and C/C++ when performance was needed, but recently have been doing some VB programming.
VB has the following advantages:
1. Good debugger (essential!)
2. Good inspector (watch facility)
3. Easy syntax (Intellisense comparable to structure editors of late 80's Lisp environments).
4. Easy to integrate with 3rd party software.
5. Compiles to fast code (CLR performance pretty good)
6. Fast development.
By the way, thanks for all the useful replies. I've upvoted everyone who contributed.
I would suggest you go with C# rather than VB.Net.
You get all the nice features that you discuss but a better (and more familiar) syntax.
Which VB are you talking about here? If you're talking VB.NET then yes, and no.. I would suggest C# or maybe F#.. F# is a functional language and hence is generally better suited for many of the patterns you'll be dealing with when programming AI. The newer versions of C# also have support for language features such as lambda expressions, anonymous delagates et al which may also benefit you!
When you say AI what do you mean? Its a very broad field. If you're just skimming the basics, like guided search and simple knowledge bases then yea VB .Net may seem beneficial. But the language structure and syntax makes it very inadequate when you start to delve into theorem proving, ILP and other areas of machine learning you'll begin to realize that language like Lisp are still being used today because they provide a more natural syntax for expressing AI concepts.
1, 2, and 3 are all aspects that any sufficiently advanced IDE has, so that's not much of an issue for most languages. As for 4, 5, and 6: Python fits 4 and 6, but not 5, as it is not very fast, though some implementations of Python do have better speed than others, depending on their configuration. (Just mentioning Python because you tagged your question with the python tag.)
If you do plan on using the .NET Framework, though, might I suggest C#? The syntax is similar to that of C and C++ (about as similar as the Java syntax is), so it'll be more familiar to you, and it does exactly the same things that VB does (and has all the same IDE features, as they both use the Visual Studio IDE, though I suppose you could use an alternative IDE if you wished, as the VB and C# compilers actually come with the .NET Framework itself and not with Visual Studio).
VB has the following advantages: [...]
But then you go on and list stuff that most modern implementations of Common Lisp offer, especially the commercial ones.
Have you tried Common Lisp recently? What parts of VB.NET do you miss when you're programming in CL?
It depends what you mean by "AI".
One common meaning is just "leading edge software technology" (e.g. chess playing is as of 2010 no longer consider to be very much about artificial intelligence, just a set of basic supporting techniques, because it's not leading edge any longer). For the leading edge stuff, the language should be chosen to suit the particular technology. Neither VB (various variants) nor C++ are likely to be good candidates then.
On the other hand, one might take AI to mean literally "artifical intelligence", the attempt to create true AI, even if just at the level of worm or housefly intelligence. Then the main stumbling block, as noted by Scott Fahlman very very long ago (eighties? seventies?), is the ability to perform huge set intersections in huge semantic nets very rapidly, in parallel, e.g. for recognition of that dangerous animal. And since current hardware isn't up that (the clock speed doesn't at all compensate for the von Neumann bottleneck), except conceivably stuff used by NSA and suchlike, it's a fight for sheer computing efficiency, which means that C++ could be a good choice for the lower levels.
Cheers & hth.,
– Alf
Doesn't matter what language you code AI in, if that language allows you to do complex mathematics. VB.NET has the same features as C# because it uses the same framework. Accessing those parts of the framework may have different callers.
AI requires a lot of optimizations for memory and trimmed custom functions... Get familiar with Reflection namespace for Un-managed memory callers. Pointers are possible and useful in un-managed memory; VB allows for these also which is what all the C# guys fight about because they don't know how to do it in VB. Memory / Pointer and Disc allocation is located in the Marshall Class which is an Interop Service.
http://msdn.microsoft.com/en-us/library/vstudio/system.runtime.interopservices.marshal%28v=vs.100%29.aspx
Anyone that tells you, C++ is the only way to go doesn't understand programming or is simply a bigot that believes C++ is the only language in the world.
AI is typically defined by math delegates that are functional representations of an action; therefore if your mathematics is no good; your code will be no good.
Neural Networks doesn't care what platform they were written in when they are assembled; they are Assembly.
I'm a programmer with 2 years experience, I worked in 4 places and I really think of myself as a confident, and fluent developer.
Most of my colleagues have CS degrees, and I don't really feel any difference! However, to keep up my mind on the same stream with these guys, I studied C (read beginning C from novice to professional), DataStructures with C, and also OOP with C++.
I have a reasonable understanding of pointers, memory management, and I also attended a scholarship which C, DataStructures, and C++ were a part of it.
I want to note that my familiarity with C and C++ does not exceed reading some pages, and executing some demos; I haven't worked on any project using C or C++.
Lately a friend of mine advised me to learn C, and C++ extensively, and then move to OpenGL and learn about graphics programming. He said that the insights I may gain by learning these topics will really help me throughout my entire life as a programmer.
PS: I work as a full-time developer mostly working on ASP.NET applications using C#.
Recommendations?
For practical advancement:
From a practical sense, pick a language that suites the domain you want to work in.
There is no need to learn C nor C++ for most programming spaces. You can be a perfectly competent programmer without writing a line of code in those languages.
If however you are not happy working in the exact field you are in now, you can learn C or C++ so that you may find a lower level programming job.
Helping you be a better programmer:
You can learn a lot from learning multiple languages though. So it is always good to broaden your horizons that way.
If you want more experience in another language, and have not tried it yet, I would recommend to learn a functional programming language such as Scheme, Lisp, or Haskell.
First, having a degree has nothing to do with knowing C++. I know several people who graduated from CS without ever writing more than 50 lines of C/C++. CS is not about programming (in the same sense that surgery is not about knives), and it certainly isn't about individual languages. A CS degree requires you to poke your nose into several different languages, on your way to somewhere else. CS teaches the underlying concepts, an understanding of compilers, operating systems, the hardware your code is running on, algorithms and data structures and many other fascinating subjects. But it doesn't teach programming. Whatever programming experience a CS graduate has is almost incidental. It's something he picked up on the fly, or because of a personal interest in programming.
Second, let's be clear that it's very possible to have a successful programming career without knowing C++. In fact, I'd expect that most programmers fall into this category. So you certainly don't need to learn C++.
That leaves two possible reasons to learn C++:
Self-improvement
Changing career track
#2 is simple. If you want to transition to a field where C++ is the dominant language, learning it would obviously be a good idea. You mentioned graphics programming as an example, and if you want to do that for a living, learning C++ will probably be a good idea. (however, I don't think it's a particularly good suggestion for "insights that will help throughout your live as a programmer". There are other fields that are much more generally applicable. Learning graphics programming will teach you graphics programming, and not much else.)
That leaves #1, which is a bit more interesting. Will you become a better programmer simply by knowing C++? Perhaps, but not as much as some may think. There are several useful things that C++ may teach you, but there also seems to be a fair bit of superstition about it: it's low-level and has pointers, so by learning C++, you will achieve enlightenment.
If you want to understand what goes on under the hood, C or C++ will be helpful, sure, but you could cut out the middle man and just go directly into learning about compilers. That'd give you an even better idea. Supplement that with some basic information on how CPU's work, and a bit about operating systems as well, and you've learned all the underlying stuff much better than you would from C++.
However, some things I believe are worth picking up from C++, in no particular order:
(several of them are likely to make you despair at C#, which, despite adopting a lot of brilliant features, is still missing out some that to a C++ programmer seems blindingly obvious)
Paranoia: Becoming good at C++ implies becoming a bit of a language lawyer. The language leaves a lot of things undefined or unspecified, so a good C++ programmer is paranoid. "The code I just wrote looks ok, and it seems to be have ok when I run it - but is it well-defined by the standard? Will it break tomorrow, on his computer, or when I compile with an updated compiler? I have to check the standard". That's less necessary in other languages, but it may still be a healthy experience to carry with you. Sometimes, the compiler doesn't have the final word.
RAII: C++ has pioneered a pretty clever way to deal with resource management (including the dreaded memory management). Create an object on the stack, which in its constructor acquires the resource in question (database connection, chunk of memory, a file, a network socket or whatever else), and in its destructor ensures that this resource is released. This simple mechanism means that you virtually never write new/delete in your top level code, it is always hidden inside constructors or destructors. And because destructors are guaranteed to execute when the object goes out of scope, even if an exception is thrown, your resource is guaranteed to be released. No memory leaks, no unclosed database connections. C# doesn't directly support this, but being familiar with the technique sometimes lets you see a way to emulate it in C#, in the cases where it's useful. (Obviously memory management isn't a concern, but ensuring that database connections are released quickly might still be)
Generic programming, templates, the STL and metaprogramming: The C++ standard library (or the part of it commonly known as the STL) is a pretty interesting example of library design. In some ways, it is lightyears ahead of .NET or Java's class libraries, although LINQ has patched up some of the worst shortcomings of .NET. Learning about it might give you some useful insights into clever ways to work with sequences or sets of data. It also has a strong flavor of functional programming, which is always nice to poke around with. It's implemented in terms of templates, which are another remarkable feature of C++, and template metaprogramming may be beneficial to learn about as well. Not because it is directly applicable to many other languages, but because it might give you some ideas for writing more generic code in other languages as well.
Straightforward mapping to hardware: C++ isn't necessarily a low level language. But most of its abstractions have been modelled so that they can be implemented to map directly to common hardware features. That means it might help provide a good understanding of the "magic" that occurs between your managed .net code and the CPU at the other end. How is the CLR implemented, what do the heap and stack actually mean, and so on.
p/invoke: Let's face it, sometimes, .NET doesn't offer the functionality you need. You have to call some unmanaged code. And then it's useful to actually know the language you might be using. (if you can get around it with just a single pinvoke call, you only need to be able to read C function signatures on MSDN so you know which arguments to pass, but sometimes, it may be preferable to write your own C++ wrapper, and call into that instead.
I don't know if you should learn C++. There are valid reasons why doing so may make you a better programmer, but then again, there are plenty of other things you could spend your time on that would also make you a better programmer. The choice is yours. :)
Experience is the best teacher.
While you can read about things like memory management, data structures (and their implementations), algorithms, etc., you won't really get it until you've had a chance to put it in to practice. While I don't know if it's truly necessary to use C or C++ to learn these things I would put some effort into actually writing some code that manages its own memory and implements some common data structures. I think you'll learn things that will help you to understand your code better; to know what's really going on under the hood, so to speak. I would also recommend reading up on computer organization and operating systems, computer security, and boolean logic. On the other hand, I've never really found a need to do any OpenGL programming, though I did do some X Windows stuff once upon a time.
Having degree has got nothing to do with C/C++ actually. Now, stuff like big O() estimation, data structures or even mathematical background. For example linear algebra results very useful, even in context that seemingly have nothing to do (eg. search engines).
For example typical error that a good coder, but without any theoretical knowledge, might commit is to try to solve NP-complete problems by exact algorithm, rather than approximation.
Now, why in universities they teach you C/C++? Because it let's you see how it's all working "under the hood". You get opportunity to see how call stack works, how memory management works, how pointers work. Of course you don't need that knowledge to use most modern languages. But you need that to understand how their "magic" works. Eg. you can't understand how GC works, if you got no idea about pointers and memory allocation.
I've often asked this question (to myself). I think the more general version is, "how can I call myself a programmer if I don't know how to kick around a language that doesn't have automatic garbage collection, with pointers and all that 'complex' stuff'?" I've never learned C++ except to do a few HelloWorlds, so my answer is limited by that lack:
I think that the feeling that you need to learn C++ (or assembler, really) comes from the feeling that you're always working on someone else's abstractions: the "rocket scientists" who write the JVM, CLR, whatever. So if you can get to a lower level language, you'll really know what you're talking about. I think this is quite wrong. One is always building on a set of abstractions: even Assembler is translated into binary, which can be learned as well. And beyond that, you still couldn't make a computer out of firewood, even if you had a pair of pliers and a bit of titanium.
In my experience as a corporate trainer in software dev (in Java, mostly), the best people were not those who knew C++, but rather those that took the language that they are working in as an independent space for "play." Although memory management comes up all the time in C# and Java, you never have to think about anything beyond freeing your object from references (and a few other cliche places, like using streams instead of throwing around huge objects in memory). Pointers and all that stuff do not help you there, except as a right of passage (and a good one, I'm sure).
So in summary, work in the language you're in and branch out into as many relevant things as possible. These days I find myself dipping into Javascript though the APIs are supposed to make this unecessary, and doing some stuff in Fireworks while I mess with CSS by hand. And this is all in addition to the development I'm really doing in RoR, PHP and Actionscript. So my point is: focus on abstractions that you need, because they're more likely to be relevant than the lower-level stuff that underlies your platform.
Edit: I made some slight changes in response to jalf's comments, thanks.
I have a 1st class Software Engineering degree and work for a large console manufacturer developing a game engine in a team of programmers all of whom program across a wide range of languages from Asm to C++ to C# to LUA and know the hardware inside out.
I would say that 5% of my degree was useful and that by far and away the most important trait to furthering my career has been enthusiam and self development.
In fact many of the colleagues I've worked with haven't had a degree and on average have probably been the better ones.
I'd say this is because they've had to replace that piece of paper from a university degree with actual working code that they've developed in thier own spare time learning the skills off thier own back rather than being spoon fed it.
My driving instructor use to tell me that I would only start learning how to drive after I pass my test ie you only really learn from the practical application of the basics. A CS degree gives you the basics which if you've had a job programming any of the major languages for 6 months you will already have. A degree just opens up doors that you may not have otherwise - it doesn't help that much once inside the door.
Knowing how the software interacts with the hardware by the sounds of it is the most important area for you at the moment only then does the 'mystery' or 'magic' really disappear and you can be confident of what your talking about else where. Learning C and C++ will undoubtedbly help in this respect as will knowing an API like OpenGL.
But I'd say the most important thing is to find something you have interest in and code that. If you have real enthusiam for it you will naturally learn more low level information and become a better programmer, if indeed that is what your definition of being a better programmer is!
I've been working as a developer with no degree for almost 15 years now. I started with Ada and moved quickly into C/C++, but it's been my experience that there will always be some language that you "have to learn." If it's not C++, it will be C# or C or Java or Lisp. My advice is make sure you're solid on the basics that apply to any language(my best friend as a dev with no degree was the CLR book), and you should be able to move relatively easily between languages and frameworks.
You don't absolutely have to learn C/C++, but both languages will teach you to think about how your software interacts with the underlying OS and hardware, which is a essential skill. You say that you already know about pointers, memory management and so on, which is great. Many programmers without a CS degree lack this important knowledge.
Another good reason to learn C/C++ is that there's a lot of code written in these languages and a good way to learn more about programming is to read other people's code. If you're interested in writing low level code like drivers, OS, file systems and the like C/C++ is pretty much the only way to go.
Do you have to learn it extensively? I expect not.
However it's best to always be learning things that help you look at programming from a different perspective. Learning C or C++ are worth it for the insight into how things work at a lower level. For C and C++ programmers the same thing might be accomplished by learning assembly. Most people won't use assembly in a project, but knowing how it works can be very helpful from time to time.
My recommendation is always to learn as much as you can. If you're not working on a C++ project in the near future I wouldn't be too worried about learning the ins and outs, but it's always good to be able to look at problems from another angle and learning new languages is one way to do that.
Today for the majority of applications, C and C++ can be viewed as an academic exercise: "How can we write programs without garbage collection?"
The answer is: you can, but it's a mostly painful experience. Most of the details of best practices in C++ are related to the lack of garbage collection.
Given the brilliant performance of modern GCs, and the general increase in computing power, even cell phones have GCs these days. And in a platform with a GC, you can always code in such a way as to limit the pressure you put on the GC.
Listen or read SO podcast 44, where Joel plays his favorite song Write in C
Spolsky: Yeah, it's not paying the proper royalties to the Beatles anyway. We'll link to that from the shownotes. Awesome song, Write in C.
Atwood: That's right, Joel's favourite song. Write everything in C, because Joel does in fact write everything in C, don't you, Joel?
Spolsky: I started using a little bit of C99, the latest version of C, which let you declare variables after you written some statements.
...
Without a professional reason (other than the good practice of self-improvement) to learn C or C++, then you should have a passionate side project planned out that you could write in C or C++. Once the going gets tough on the side project, you'll need your enthusiasm and curiosity to take you over the hump (since on a side project, you naturally don't have the motivation of pay or de-motivation of a superior looming over you).
Also, most CS degrees are using Java as their language of choice now. This just proves the point that experience gained in the language of choice and exposure to some of the theory involved in the other classes in the degree is the main benefit for people with CS degrees, and not so much the specific language (though I think the higher they go up the abstraction scale, the worse it is for the students in the long run).
Without a practical reason for learning a programming language it is pretty hard going.
If you can think of particular problems or a specific task which the language is suit for - Then the learning experience is driven by needs, rather than simple academics.
I only just recently switched from VB to C# (1 month ago) while not as significantly different as a switch from C# to C, because I switch for a particular reason I found it much easier to learn. I had dabbled previous without a specific problem to solve, needless to say I switched back
If you have a different style of learning as in self-taught then my recommendation to be a better programmer is to research topics regarding your domain. From bottom to top, slowly climb up the ladder.There is a fairly amount of different programmers, no one will excel in all, so don't start off with that context in mind.
Best of luck to you.
C++ is just a programming language. What you don't have that other students (if they paid attention in class) have is the deeper understanding that comes through studying concepts.
Being a programmer is not and should not be the end goal of any CS graduate. However it is as far as most people get without such a degree.
Here is an analogy: An engineer and an architect both at some point learn to draft buildings using CAD. Also, someone completely untrained can come in and start work using CAD and be very effective. This is a good career and it pays well, but for both the engineer and the architect it is not where you want to be when you are 30.
One value of knowing C is that many other languages including C#, Java, C++, JavaScript, Python, and PHP have their roots in C syntax.
Another value, and arguably more important, is that it will build your confidence. Programmers are a confident group and very optimistic (you have to be confident to think that you can write the equivalent of a 1000 page book without a single spelling or grammatical error). And confidence in your ability to learn and effectively use any language will grow considerably with a pure C application or two under your belt.
So write a non trivial program in C; something that at least reads and writes files, allocates and deallocates memory, and manages a data structure like a queue or binary tree.
Your confidence will thank you.
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Is anyone out there using D for real world applications? If so, what are you using it for? I can't seem to find anything big on the web written in D.
Despite the lack of known big users, D seems like a very promissing language to me, and according to TIOBE, it's fairly popular.
I do bioinformatics work in D. For me, the key thing about D is that it takes a very level-headed approach to tradeoffs and recognizes the principle of diminishing returns.
Unlike C++, which adheres rigorously to the zero-overhead principle, D allows features that may have a small performance/space cost if they make the language a lot more usable. These include garbage collection, a monitor object for each class, runtime type info, etc.
Unlike Ruby, Python, PHP, etc, D tries to be almost as fast as C, even if it is less dynamic and slightly more difficult to program in than scripting languages.
The result is a language that is optimal when both development time and execution time matter about equally, which in my field is most of the time.
Similarly, D takes a very level-headed approach to safety vs. flexibility. It assumes that programmers basically know what they're doing, but do make mistakes.
Unlike C and C++, it assumes that you don't want to use pointers, unsafe casts, manual memory management, etc, everywhere in your code, because they're error prone, and assumes that you don't want to sift through multi-page template error messages when you screw up just to use resizable arrays.
Unlike Java and other bondage-and-discipline languages, D assumes that sometimes pointers, unsafe casts, manual memory management, etc. are a necessary evil, and assumes you're smart enough to handle real templates, operator overloading, etc. without writing obfuscated code. It also assumes that you may screw up and access an array out of bounds, but that the programmer knows best what tradeoff should be made between safety and speed in any given situation. Therefore, whether arrays are bounds checked is simply determined by a compiler switch.
I'm using D for my research work in the area of computer graphics. I and others have had papers published in our fields based on work done using D. I think it's definitely ready for use on small to medium sized research projects where performance matters. It's a nice fit for research work because often you're starting from scratch anyway, so you don't have much legacy code to worry about integrating with.
Another popular area for use seems to be web services. Hopefully someone else can comment who's in this space, but there too I think the idea is that performance often really matters so you want a compiled-to-the-metal language. Services are often fairly small, self-contained processes, so interop with large amounts of legacy C++ code is not really necessary or useful. Thus D can get its foot in the door.
I think D will continue to gain grass-roots followers in this way -- on smaller projects that for whatever reason can afford to ditch the C++ legacy in order to gain a programming language that's much more enjoyable to use, and perhaps more productive too.
But until there's a huge number of grass-roots users there won't be much in the way of big corporate users I suspect.
I know of one smallish company that have sent a mail server product to the market. They had at least 2 people working full time on the project.
Also, a major player in the IT business have several employees using D in larger internal projects.
Further I know of one company seeking venture funding, several (at least 4) employees in smaller companies using D either part or full time, and at least a couple (including me) actively seeking opportunities in the consulting market.
I've probably left out a few that I should have known about, and probably some I haven't heard about, but that still exists, as the above is more or less those I know myself via the community.
A small percentage of my current income comes from D.
I use D for web development and it proved quite a lot more productive compared to C/C++.
There are a lot of frameworks based on ruby/php/python, of course.
But when you want to develop something unique that also have to be as fast as C and nearly as easy as to program with as you do in many script languages, then D is a good choice.
I use D for a hardware in the loop (HIL) test environment. This is for software tests in the automotive area. D can be used here, because as a system programming language it is possible to be used in real-time programs (IRQ handlers in a linux real-time extension RTAI-LXRT).
With the ongoing port of SWT/JFace I plan to do more and work in D which I would have been done in Java before.
Facebook announced that they are using it in production as of today.
I'm using D in research about compile time code translation. The advanced templating combined with tuples and mixins makes code translation much easier and allows for code translation to be done during compile time without requiring a separate tool.
There are some examples of physicists using D to enhance their programs with meta-programming in D.
video - Conference talk, could not find source site of physicist use.
Our whole (high-traffic) network infrastructure is based only on D1 and tango. We are a young startup company in Berlin: sociomantic.com
My current work task is a system to translate C# to D. This is as part of a for profit project to develop a software system.
Well, I have written a couple of research papers in D as have others.
http://www.digitalmars.com/pnews/read.php?server=news.digitalmars.com&group=digitalmars.D.announce&artnum=13337
http://www.digitalmars.com/webnews/newsgroups.php?art_group=digitalmars.D.announce&article_id=9466.
It seems that Remedy Games has a large D2 codebase for their games (cf. Using D Alongside a Game Engine by Manu Evans - DConf 2013).
They are a big company, knowing that a big company is using D is very good.
A lot of the games released by ABA Games are written in D 1.x, though I imagine the console ports had to be rewritten in C++.
I've written quite a few game prototypes in D, but I'm not sure if that qualifies as 'real world' since I wrote them for my own benefit and have never released any of them.
I wrote (and I am still maintaining and developing) a software for the conversion of tester protocols from various hardware testing stations to a standardized output format for traceability and stuff like that.
All together over 5k lines of code, written with D 1.x and the Phobos library.
D is so easy to learn, and disregarding some pitfalls (in the Phobos library) a real joy to program.
I used D for my research project on developing a global optimization algorithm. I applied it to the problem of training neural networks. It's up to you whether you want to call this "real world".
I wrote a wrapper script that builds DGCC on OS X
http://github.com/davecheney/make-gdc-apple/tree/master
I'd love to hear from other DMD programmers out there
I use D2, the second standard of the version. I wrote real-time applications (3D engine, for instance).
The language gets more and more powerful each day. D is very pragmatic and all the embedded features, especially the metaprogramming paradigm, makes it far over C++, in my opinion. The syntax is clearer, you can use the strength of functional programming through functions such as filter or reduce, and one of the most important feature: you can use all the C libs.
Definitely my favourite language, and I’m pretty sure it will be a spread used language.
I suppose we can read something into the lack of immediate answers to this question and that is that not many/any of the acive stackoverflow responders are using D. I was also a little surprised about the level of its ranking in the TIOBE listing that you link to.
Having said that, Walter Bright has been working on the language for quite a number of years now and I think he has quite a number of `followers' who remember what a good job he did with the Zortech C++ compiler back in the '90s. I also note that the language appears to be leaning towards the functional direction now.
The D's official website enumerates the organizations that are currently using D.
http://dlang.org/orgs-using-d.html
The D wiki also provides a list of organizations, but it's outdated.
Just watch carefully DConf talks.
DConf 2013
DConf 2014
Almost all people there work for some company, and they use D at work.
I am starting a project to rewrite some of our internal tools from Perl to D. I chose D because I'm pretty excited about the design philosophies of the language. I've been programming for a long time and used a lot of languages, from assemblers to high-level (mostly C) to scripting languages (mostly Perl), and D is the first language I've been enthused about learning in many years.
I decided to move to a compiled language for one main reason - security. Functionally, Perl works quite well for the toolset I work on, but it's insecure - anyone that can run a script can also read, copy and create their own modified version of the tool. (And they do.) I know there are circuitous methods to get around this problem (sort of), but to be honest I don't have enough hours in the day to manage all of that and still get my primary job done.
I started a ray-traced renderer in D with ldmd2.
http://palaes.rudanium.org/SubSpace/render.php