General Purpose Language with Object-Oriented Programming, and Powerful Data Structure and Algorithms
Pro Excellent compiler optimization
Both open source compilers (such as Clang and GCC), and proprietary ones (like Intel's and Microsoft's) are very good at analyzing program flow and program optimization. This is mostly due to the widespread usage of C/C++ applications running everything from mobile/desktop/server Operating Systems, to search engines and webserver software, and the demand for performance.
Pro Teaches problem solving
The great STL is the most powerful Data Structure and Algorithms Library. It would benefit you very much in problem solving, your main main way to love programming. The code is much compact compared to Java and C#. No unnecessary classes are in your way; yet when you need classes they are available unlike C. The code runs very fast.
Con Module system is not great
C++ uses the
#include mechanism provided by C. Which unfortunately is a poor way of accessing the API of a library. Some of the reasons why the module system is weak are:
Compile time scalability: The compiler must preprocess every header included in a file, and every header included in those headers. This process must be repeated for every translation unit in the program. As can be imagined, this doesn't scale very well. For each header added you are increasing the compilation time exponentially.
Fragile: modules included are treated as textual imports by the compiler. This causes all sorts of problems since they are subject to any macro definitions in the time of the inclusion. If any of these macro definitions collide with a name in the library it can break the library API .
Con Undefined behavior
Subtle errors can render the entire program "undefined" by the complicated C++ standard. The standard imposes no requirements in such cases. Thus C++ compiler writers are free to ignore the existence of such cases and Bad Things are prone to happen instead. Even experts can't reliably avoid undefined cases in C++, so how can beginners be expected to do so?
Con No two programmers can agree on which 10% subset of C++ to use
C++ is such a huge and complicated language, that programmers have to learn a disciplined subset of it to reliably get anything done. The problem is, no-one can agree on which subset to use and they can't understand each other.
Out of Date Pros + Cons
Pro Unrivalled performance amongst high-level languages
Since C++ has a policy of zero cost abstractions, great care is taken to implement every feature, so it uses the absolute minimum of computational resources. Also you don't pay (computationally) for language features, that you don't use. Template meta-programming is a technique, that allows to delegate some decisions in your program to compile time, so your generated assembly is highly specialized and optimized.