Related
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 12 years ago.
I'm starting C++ programming in my first job. I'm a CS student and I have learn programming in Java. What advice would you tell me to watch out so I don't cause trouble in my new job?
Would you have any advice or references would be appreciated.
(example: I know C++ is more likely to have memory problem than Java)
Thank you very much!
Maybe you already know this, but one common mistake for folks used to Java and learning C++:
Don't use new unless you have to (and you probably don't really have to). In most cases where you want to create an object, you should just create it "on the stack", like ClassType obj;.
Two things:
Get yourself a copy of Effective C++ by Scott Meyers.
Lint your code. This will not only catch potential bugs early in the development process, but also teach you good coding habits (e.g. declaring a method's input arguments as const references). I use PC-Lint for this.
For me, the biggest difference between Java and C++ is pointers, so I would try to get pointers down. Just my opinion.
No two ways about it. You're going to be a menace until you've been bit enough by C++ gotchas to hate the language. I'd recommend trying to write functions and not classes. A lot of people think OOP is great, but really most users want your code to "do" something, not "be" something. Anyways, good luck. :-)
Definitely what Chance said. Memory management is explicit in C++. I had an excellent textbook in college called Deitel C++. It's a C++ Bible.
I would also learn up on the Standard Template Library and Boost.
This might give you some ideas.
Some important excerpts :
Researchers (Bloom (1985), Bryan & Harter (1899), Hayes (1989), Simmon & Chase (1973)) have shown it takes about ten years to develop expertise in any of a wide variety of areas, including chess playing, music composition, telegraph operation, painting, piano playing, swimming, tennis, and research in neuropsychology and topology. The key is deliberative practice: not just doing it again and again, but challenging yourself with a task that is just beyond your current ability, trying it, analyzing your performance while and after doing it, and correcting any mistakes. Then repeat. And repeat again.
And here is how to do :
Get interested in programming, and do some because it is fun. Make
sure that it keeps being enough fun so that you will be willing to
put in your ten years/10,000 hours.
Program. The best kind of learning is learning by doing. To put it
more technically, "the maximal level of performance for individuals
in a given domain is not attained automatically as a function of
extended experience, but the level of performance can be increased
even by highly experienced individuals as a result of deliberate
efforts to improve." (p. 366) and "the most effective learning
requires a well-defined task with an appropriate difficulty level for
the particular individual, informative feedback, and opportunities
for repetition and corrections of errors." (p. 20-21) The book
Cognition in Practice: Mind, Mathematics, and Culture in Everyday
Life is an interesting reference for this viewpoint.
Talk with other programmers; read other programs. This is more
important than any book or training course.
If you want, put in four years at a college (or more at a graduate
school). This will give you access to some jobs that require
credentials, and it will give you a deeper understanding of the
field, but if you don't enjoy school, you can (with some dedication)
get similar experience on your own or on the job. In any case, book
learning alone won't be enough. "Computer science education cannot
make anybody an expert programmer any more than studying brushes and
pigment can make somebody an expert painter" says Eric Raymond,
author of The New Hacker's Dictionary. One of the best programmers I
ever hired had only a High School degree; he's produced a lot of
great software, has his own news group, and made enough in stock
options to buy his own nightclub.
Work on projects with other programmers. Be the best programmer on
some projects; be the worst on some others. When you're the best, you
get to test your abilities to lead a project, and to inspire others
with your vision. When you're the worst, you learn what the masters
do, and you learn what they don't like to do (because they make you
do it for them).
Work on projects after other programmers. Understand a program
written by someone else. See what it takes to understand and fix it
when the original programmers are not around. Think about how to
design your programs to make it easier for those who will maintain
them after you.
Learn at least a half dozen programming languages. Include one
language that supports class abstractions (like Java or C++), one
that supports functional abstraction (like Lisp or ML), one that
supports syntactic abstraction (like Lisp), one that supports
declarative specifications (like Prolog or C++ templates), one that
supports coroutines (like Icon or Scheme), and one that supports
parallelism (like Sisal).
Remember that there is a "computer" in "computer science". Know how
long it takes your computer to execute an instruction, fetch a word
from memory (with and without a cache miss), read consecutive words
from disk, and seek to a new location on disk. (Answers here.)
Get involved in a language standardization effort. It could be the
ANSI C++ committee, or it could be deciding if your local coding
style will have 2 or 4 space indentation levels. Either way, you
learn about what other people like in a language, how deeply they
feel so, and perhaps even a little about why they feel so.
Have the good sense to get off the language standardization effort as
quickly as possible.
I am totally new to programming as though I have my PhD as a molecular biologist for the last 10 years. Can someone please tell me: Would it be too hard to handle if I enrolled simultaneously in C++ and python? I am a full time employee too. Both courses start and finish on the same dates and is for 3 months. For a variety of complicated reasons, this fall is the only time I can learn both languages. Please advise.
GillingsT
Update:
A little more detail about myself: as I said I did a PhD in Molecular Genetic. I now wish to be able to obtain programming skills so that I can apply it to do bioinformatics- like sequence manipulation and pathway analysis. I was told that Python is great for that but our course does not cover basics for beginners. I approached a Comp Sci Prof. who suggested that I learn C++ first before learning Python. So I got into this dilemma (added to other logistics).
You'll get holes in the head.
Python's data structures and memory management are radically different from C++.
Whichever language you "get" first, you'll love. The other you'll hate. Indeed, you'll be confused at the weird things one language lacks that the other has. One language will be reasonable, logical, unsurprising. The other will be a mess of ad-hoc decisions and quirks.
If you learn one all the way through -- by itself -- you'll probably be happier.
I find that most folks can more easily add a language to a base of expertise.
[Not all, however. Some folks are so mired in the first language they ever learned that they challenge every feature of a new language as being nonsensical. I had a guy in a Java class who only wanted to complain about the numerous ways that Java wasn't Fortran. All the type-specific stuff in Java gave him fits. A lot of discussions had to be curtailed with "That's the way it is. If you don't like it, take it up with Gosling. My job isn't to justify Java; my job is to get you to be able to work with java. Can we move on, now?"]
If you are new to programming, I would say start with the C++ class. If you get the hang of it and enjoy programming, you can always learn Python later. There are a wealth of good books and Internet resources on pretty much any programming language out there that you should be able to teach yourself any language in your spare time. I would recommend learning that first language in a formal classroom, however, to help make it easier to learn the general concepts behind programming.
Edit: To clarify the point I was trying to make, my recommendation is to take whichever course is geared more towards beginning programmers. The important things to learn first are the basic fundamentals of programming. These apply towards almost any language. Thanks to the wealth of resources available online or in your bookstore/library, you can teach yourself practically any programming language that you want to learn. First, however, you must grasp the basics, and intro C/C++ classes typically (in my experiences, at least) do a good job of teaching programming fundamentals as well as the language itself.
Since you are a beginning programmer, I would not recommend trying to learn two languages at once (especially if you are trying to learn fundamentals at the same time). That's a lot of very similar (yet very different) information to keep track of in your head, almost like trying to learn two brand new spoken languages at the same time. You may be able to handle it perfectly fine but at least for most programmers that I know, it is much easier to get a good grasp on one language first and then start learning the second.
I think that given the circumstances (fulltime employee, etc) studying one language will be hard enough. Pick one, then study another. You'll learn basics from either language.
As for "which language to pick"... I specialize in C++, and know a bit of python. C++ is much more difficult, more flexible, and more suitable for making "traditional" executables.
I'd recommend to start with C++. You'll learn more concepts (some of them doesn't exist in python), and learning python after C++ won't be a problem.
edit:
From your comment on this question, it appears the Python course is not geared towards beginner programmers. They'll probably be covering some of the more advanced topics of programming without touching on the basics of program flow which are really essential. So if the C++ course is geared towards beginners, then I would recommend that you take the C++ course and teach yourself Python on the side.
There is a wealth of Python tutorials out there. The official one is also really good. You don't have to wait to learn Python, of course, you can do it right now by going to any of those tutorials. The first tutorial I linked, by Alan Gauld, is geared towards non-programmers and is really high quality. He's also a regular contributor/moderator of the python tutor list. If you want to really learn Python, subscribe to that list and ask questions when you have them and do your best to answer questions that are posed - that's how I learned Python and I credit that process with much of my knowledge and understanding. As a PhD you've probably seen countless times that teaching someone else helps you retain your knowledge better and forces you to really understand the concepts.
When you do start learning, there's a great package of Python tools called Python (X,Y) that is designed for doing scientific type computing. It has all sorts of great tools packaged with it.
If you've had any experience programming, then you should easily be able to handle both course loads. What I mean is that if you can understand the following two programs, you should be able to easily perform the course loads.
Python:
elements = ['Sn', 'Pb', 'Au', 'Fr', 'F', 'Xe', 'H']
for element in elements:
if element == 'Sn':
print 'Tin'
elif element == 'Pb':
print 'Lead'
elif element == 'Au':
print 'Gold'
else:
print 'Other'
C++
#include <stdio>
#include <string>
using namespace std;
int main(){
string name;
int age = 0;
cout << "Please enter your name: ";
cin >> name;
cout << "Please enter your age: ";
cin >> age;
cout << "Hello " << name << "! You are " << age << " years old!" << endl;
return 0;
}
Even if you don't know exactly what's going on, in the programs, if you kind of have an idea, you should do just fine. These are typical programs that you'd expect to see in the first few weeks of class, and if you can look at them and figure out what's going on you're probably at least better off than the average student.
If you look at both of these programs and think, "What in the...??? I'm so confused!", then you should only take the Python course. Python makes it a lot easier to grasp the concepts (and write programs) than C++. The knowledge you gain in either language easily translates to the other, but you have to be exposed to a lot more in C++ than Python. For example, that C++ program looks like this in python:
name = raw_input("Please enter your name: ")
age = raw_input("Please enter your age: ")
print "Hello", name, "! You are", age, "years old!"
You can usually focus on one concept at a time without having to worry about possible bugs being introduced by other language features.
But if you can guess what's going on in both programs within 5 minutes, I'd go ahead and take both classes - as a molecular biologist you've had to do plenty of logical thinking which is essential to programming (not so essential to being a high-schooler).
Good luck!
I think it all depends on the level or difficulty of the of the class and that the languages in and of themselves really don't make that much of a difference.
To me, programming is 95% logical and about 5% dealing with syntax and the actual language. I started programming in high school and up through college (a senior a Computer Eng Currently) the focus was all about understanding the mindset of things and learning how to logically think through a problem and then develop a solution. Very few of our classes were a C++ or Java or Python based class. Of course there were some that focused on the more obscure languages such as x86 Assembly, but even then the idea was more of learning how to attack a problem. As a MCB person you should be fine with that.
For the other 5%, which is the actual language, taking two classes in two different languages will lead to crossovers. Of course a lot of what you learn in both can be applied to the others such as loops, conditionals, classes etc. However syntax is what is going to mess you up. You'll find yourself writing the syntax for the other language when you don't mean to. Simple things such as an if statement
Python:
if x > y
C++:
if (x > y)
But other than syntax issues, I really think all languages are pretty much the same. Sure people are going to disagree and that yes different languages are better at things than others but if you're not taking a graduate level class and these are both pretty basic intro classes what you learn could actually complement the other class you're taking.
But of course the biggest question for you to consider is time. Even being a full time student taking multiple heavy programming classes is not smart. Often times assignments are longer than expected or more difficult than first realized. So if you're going to have multiple long involved projects dealing with coding you may want to pick just one class. Especially seeing as a lot of what you learn in one can easily be translated to the other and vice-versa.
I think you pretty much answered this question yourself:
I was told that Python is great for that but our course does not cover basics for beginners.
In other words, the Python course is not an introductory course -- it assumes you already know how the basics of programming. That's probably why the professor suggested you take the C++ course first.
I come from a computational maths background, and have written sizeable (commercial and accademic) programs in both C++ and python. They are very different languages and I would probably learn one first (or only one).
Which one would depend on what you want to be able to do with the language.
If you want to build something useful with your language that is not (overly) compute or data heavy, go with python, you'll get something useful quicker.
If you need to do something useful that is either compute heavy or data heavy, then you'll probably need to go with C++. But it will take you longer to get to something to do what you need --- It will take a while to learn C++, then additional time to code data-heavy or compute-heavy code effectively.
Now some will say that python can handle data/compute heavy jobs well enough.. but in molecular biology "heavy" can mean very heavy.
Having said this, my suggestion is go with python if you can.
You've got to find out what people in your field are programming with so you can leverage existing libraries/APIs/projects. It won't do you any good re-inventing the wheel in C++ or Python if there's some wicked-cool FORTRAN library out there that is standard in your field. (And, if that is the case, God help you, I'm sorry.) Anyway, the CS prof you talked to might not have any idea what computational molecular geneticists use.
my robotics lab is looking for programmers to work on some projects we have at the moment.
We nailed down the requirements (mainly, c++ and experience with openGL and 3D), but due to obvious money constraints we can't afford to hire Great Developers. Instead we're going to settle for Talented Students, offering them projects for their dissertation/thesis and hoping for some fresh ideas and creativity from their side. We can also afford to pay students that just graduated (first job experience).
So my question is:
In your experience, how did you spot a Talented Student (computer scientist or engineer)? What questions did you ask? What else did help you in finding a candidate that turned out to be a Good Programmer? (note: they might not know much about a specific language, but might have the ability to learn pretty fast)
or, if you were the interviewee,
Which questions were asked that made you jump on the bandwagon? Or, if you had an awful experience, what - in retrospect - was an obvious warning signal that you ignored?
Please note that I am not looking for an argumentative answer. We can talk all day long about what's best for us and never agree.
Instead, I'm looking for tales from your experience. Anecdotes, stories, hints, everything will help.
Background:
A bit more background: working for academia here is slightly different than working for the private sector (here = Italy). There are no 'deadlines' to 'sell' a product; instead, it's all proof-of-concept based. Nothing you start working on has the guarantee to be functional.
A comic best describes it: reinventing the wheel
I am considering doing Coding Questions for their interview, but all my colleagues are scoffing at me (too scary, nobody will ever come to work for us again, nobody really know how to code, etc).
Coding-wise, programming done by researchers is ... ugly. I am fighting to get a version control system in constant use, people have to be chased down to report bugs and document their code, everything is coded-so-that-it-works and rarely we go back to old code to 'fix bugs'. Basically once it's somewhat working, the project is closed and people go work on another project.
Lots has been reinvented and rewritten over and over again (just because nobody knew it was already there). People come and go, future is uncertain, but we play with robots so it's very cool :)
Furthermore, being really understaffed, nobody can follow you and guide you in your project. At best you're the one that has to come up with a plan, background literature and a working prototype.
Hence, we are looking for people that:
have some background to get started
can be highly independent
do want to learn and build their own expertise in new fields
Actually, here's my best advice:
Recruit among your students.
Since you work for an academic institution I assume that either you or your colleagues teach. This provides you with a wealth of information about what potential recruits are capable of -- how fast they learn, how motivated they are, what they are good and bad at, how the code they turn in for the lab assignments and projects look like, etc.
Firstly, in industry, coding questions are very much the norm - I'd be worried if coding questions weren't asked!
I've been responsible for doing technical interviews for about ten years now. And yes, I ask coding questions. But the questions themselves aren't really the point. What I'm more interested in is getting an idea of whether the candidate can think, and articulate their thoughts.
One question I ask (asuming the simple earlier stuff has gone well) is about inheritance heirachies. There is no one right answer, although there are a lot of wrong ones. But what's important is how they approach the question, the points they come up with in favour of one design over another.
Background knowledge is useful, in that it shows that they have an interest in the area in which you're working - but really knowledge can be gained. Intelligence is much more important.
However it's quite possible to have intelligent people who are impossible to work with! I haven't figured out how to determine who they are.
I have done such a project when I was a student: ie a 4-months project, working half-time. It was not about robots, per se.
I think that the most obvious requirement is motivation/passion. Since they'll be mostly on their own you will need them to be somewhat independent and able to think for themselves, this requires motivation first and foremost.
In order to determine whether the candidate is motivated or not, begin by asking them about the project itself. If they only gave it a cursory glance, they're likely not motivated. Also look at their experience / courses: optional courses in CS, projects they've done, etc... anything indicating that they really care about CS / development in general and are not there just because they've heard it paid well.
Then comes the question of ability. Like you said it might not be easy to spot those who will be smart enough to figure stuff out by themselves and DO things. Once again, you can ask them about past projects, having them detail the issues they faced and how they solved it.
Finally, I agree with you that some demonstration of their abilities is in order. They might be a bit tense initially, so I would do this at the end, once the interview is already going, you might have had a chance to get them to relax with the previous questions this way.
You don't necessarily need them to do coding questions, I think it's most about reasoning. Try to pick problems related to your area work, for example one you really had in the past, and get them to analyze the problem. If possible they should take the lead and ask you questions about the problem itself here.
We've had an issue with the robot not being able to analyze the images the camera took, it could not correctly determine the moving objects itself, do you have an idea how you would do that ?
Then you'll need to get them to think about a solution. You need a whiteboard here, and ask them to think aloud so that you can follow their reflexion. You'll probably need to nudge them a bit from time to time to keep them on track, their reaction to your input is also a key-point here, since you want them to be able to accept criticism and build on it, otherwise you might have issues directing them afterward.
Frankly, try to avoid asking them for the quicksort algorithm, or the introsort, or the radix sort... If they need sorting, they'll just fire up their computer and browse the internet. On the other hand, getting them to analyze an existing algorithm unknown to them (for example, the median of 5 sort) and checking that they understand why it works, could be worth it. If they need to work on their own, they'll need to be able to learn on their own too :)
As others say, try to hire someone that's motivated!
For master thesis students I put more emphasis on knowing the basic skills (programming, knowing how to use version control) as they don't stay on long enough to learn everything along the way.
If they're going to work mostly on their own and you have no special requirements on language I wouldn't focus much on language questions. But every decent programmer knows at least one language fairly well, get a sample or their prior work or make them code some simple application to test that they don't suck.
I'd focus more on algorithm and data structures. Ask rudimentary stuff that every programmer should know - when to use a list and when to use a vector, why summing a row-major matrix by iterating over the columns first is bad, basic complexity analysis questions, etc. That will sort out many of the bad weeds.
Ask some design questions too perhaps, e.g. what is "coupling" and why is it bad, ask them if they know what a design pattern is, etc.
Check that the applicants have a solid grasp of linear algebra and coordinate system changes in particular if they're going to work with any 3D stuff like OpenGL. In my experience, learning the API is simple, wrapping your head around how the transformations work less so.
Obviously, if you except them to perform any real robotics-specific you should check for that knowledge as well. E.g. estimation (understanding simple EKF and particle filters is a requirement in my book), control theory, pattern recognition, machine learning, vision, or whatever is useful for the particular task.
If I were hiring someone for theoretical work I would perhaps loosen up on the CS/programming skills and focus more on math knowledge. Someone with solid math skills will pick up the CS easily, and programming is just programming.
Ask for references or to see some of the prior work. Many great students already have some interesting project to show after graduation.
I'm not sure how common this is at universities in general, but I would look for a games programming (or robotics) course on the transcript where the candidate, as a student, succeeded in completing a project with a team. It would ask the candidate to describe how that project worked (important technical details) and the role he had in the team. The only way to really tell if someone is good at something is to see what happens when they try it, and since you're in academia, recruiting students, that should not be a problem.
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 4 years ago.
Improve this question
Reading the reviews at Amazon and ACCU suggests that John Lakos' book, Large-Scale C++ Software Design may be the Rosetta Stone for modularization.
At the same time, the book seems to be really rare: not many have ever read it, and no pirate electronic copies are floating around.
So, what do you think?
I've read it, and consider it a very useful book on some practical issues with large C++ projects. If you have already read a lot about C++, and know a bit about physical design and its implications, you may not find that much which is terribly "new" in this book.
On the other hand, if your build takes 4 hours, and you don't know how to whittle it down, get a copy, read it, and take it all in.
You'll start writing physically better code quite quickly.
[Edit]
If you want to start somewhere, and can't immediately get a hold of the book, I found the Games From Within series on physical structure useful even after reading Large Scale C++ design.
Interestingly, "More C++ Gems" contains a shortened (to 88(!) pages) version of Lakos' book, which can also be browsed (fully, I believe, as it belongs to the first half of the book) online at Google books.
So, enjoy everyone interested:)
Lakos used to work for Mentor Graphics, who makes EDA software. He was involved in building EDA software in C++, where they wanted to use C++ efficiently ('no more than 5% overhead over C code') and sort out how to build software on early workstations that really would take a long time to compile a large C++ application.
The book is quite a good read - it discusses a wide variety of topics, and Lakos really did know his stuff. He really comes from a background of having to get efficient code out of a C++ compiler, as well as how to set up a C++ program so it is maintainable and compiles and links reasonably quickly.
I think that Lakos has a lot of insight, and I would recommend that you read it. However, it is 'trad' C++ from a time before features like templates were widely available. My copy is not for sale ;^)
I thought the book was a good read back in the late 1990s. It was out of date back then, now about as relevant as telephone book from the 1950s.
I worked with Lakos for several years where he tried to implement these ideas. I also had my modern C++ project I built of about 2000 source files-- large scale enough, and I've built a few more since. Build times are easily reduced by parallel distributed builds, using programs like icecream. Every complier will cache opened headers-- only by doing something really outrageous any modern build tool like scons will scale to thousands of translation units without doing anything really special, with build times, including tests, takes a couple minutes from clean.
Limiting your libraries interface to a few "vocabulary types" (not the same sence as the OO concept, he means just use Int, float, string, char, and a couple of other I don't recall) is extremely poor advice to scale anything. Your build is going to be looking for a type mismatch, you don't want this at runtime just to make it easier to write a make file.
And that's largely the gist of the book-- how do I write C++ in order that it works with tools from 1993? Additionally, the Mentor Graphic project the book describes was a disaster from all accounts. Even the book itself alludes to that.
Large Scale C++ is delivered in source code form-- these are the "physical dependencies," not link libraries (and the book never mentions other more important dependencies like databases, sockets, processor architecture, etc.).
The book is full of ideas that sound good, but there are much better ways to scale up in practice. If you want to study large C++ libraries, take a look at Boost or Xerces and see what they did. They really are implementing large projects, not writing about them.
It's a little out of date (in fact it was out of date when it was written). If I recall correctly, a lot of it was about reducing dependencies which you would probably do now with templates.
Although that's probably one of the lessons to learn on large scale projects, you aren't usually using cutting-edge features and tools.
Is “Large-Scale C++ Software Design” by John Lakos a mind-provoking (but usually overlooked) gem?
Yes.
It is an excellent book and an important one from a historical point of view.
Note that to implement the practices described in the book, you need considerable discipline and agreement within the team. Here are a few things to note:
Lakos has precise definitions for what he calls "components" and "packages". These are key for large scale design. However, they require adherence to conventions for how source and header files are named and the sequence in which they are included. It is a shame that most people (including those who quote Lakos) rarely follow these conventions.
The book is all about C++ but the concepts are more widely applicable. However, because C++ is such a complex language, a large part of the book is teaching you how to use C++ effectively. If you can get past that, you can actually find it useful even if you use other languages.
Some of the prescriptions such as on the use of "name spaces" maybe considered controversial now. Many believe that name spaces should be used in a limited way in C++.
Yes, in some ways, the book is a little dated and some of it is C++ specific. Nonetheless, it offers a lot of useful advice about dealing with complexity and coupling in large programs, and most of his advice applies to any object-oriented language. I also found it very readable.
If you can track down a copy, I'm sure you'll find it worth reading. It's in my top ten list of programming books.
I read it a long time ago, but I remember getting quite a lot from it; though as MadKeithV points out, that may just have been that I knew less then ;)
Certainly from a "how do I reduce how long this takes to build" perspective it's has lots of useful stuff, especially around reducing compile time dependencies, though possibly some of it is no longer relevant, or even possible, given how much templates are used these days.
And no, you can't have my copy either :)
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.