0. Books--one of these: http://isocpp.org/get-started http://isocpp.org/get-started Personally, if you aren't new to programming per se, I'd go with "C++ Prime

0. Books--one of these: http://isocpp.org/get-started http://isocpp.org/get-started Personally, if you aren't new to programming per se, I'd go with "C++ Primer" by Lippman/Lajoie/Moo since it smoothly integrates modern C++11 throughout the entire text (instead of sticking it into a separate section, as some of the other books do). After that, "C++ Concurrency in Action: Practical Multithreading" by Anthony Williams: http://www.manning.com/williams/ http://www.manning.com/williams/ ...and then the rest of the books from the isocpp list (e.g., Josuttis). 1. Libraries: The rich ecosystem of available libraries is one of my primary reasons for using C++ for numerics :-) In fact, it's rich enough that it may be best if you were to specify what kind of number crunching you're interested in -- right now I can only try to give you a very broad/big-picture list of some that I've found useful. The Standard Library supports (P)RNG with a variety of statistical distributions: http://en.cppreference.com/w/cpp/numeric/random http://en.cppreference.com/w/cpp/numeric/random - Boost.Math Toolkit: http://boost.org/libs/math http://boost.org/libs/math // and more broadly: http://boost.org/doc/libs/?view=category_Math http://boost.org/doc/libs/?view=category_Math // and even more broadly ;-): http://www.boost.org/doc/libs/?view=categorized http://www.boost.org/doc/libs/?view=categorized - Eigen: http://eigen.tuxfamily.org/ http://eigen.tuxfamily.org/ - GPGPU: http://www.soa-world.de/echelon/2014/04/c-accelerator-libraries.html http://www.soa-world.de/echelon/2014/04/c-accelerator-librar... - MLPACK: http://mlpack.org/ http://mlpack.org/ - NLopt: http://ab-initio.mit.edu/wiki/index.php/NLopt_C-plus-plus_Reference http://ab-initio.mit.edu/wiki/index.php/NLopt_C-plus-plus_Re... - OpenCV: http://opencv.org/ http://opencv.org/ - Odeint: http://www.odeint.com/ http://www.odeint.com/ - POCO: http://pocoproject.org/ http://pocoproject.org/ // note: not numerics, but when you need to exchange data over the net/web, these are pretty good for that :-) - QuantLib: http://quantlib.org/ http://quantlib.org/ // note: QuantLib is primarily for quantitative finance, but also has math components: http://quantlib.org/reference/group__math.html http://quantlib.org/reference/group__math.html - SOCI: http://soci.sourceforge.net/ http://soci.sourceforge.net/ // note: not numerics, but for when you need database access, it has pretty clean API and is easy to use :-) 2. Talks: * C9 Going Native: http://channel9.msdn.com/Shows/C9-GoingNative http://channel9.msdn.com/Shows/C9-GoingNative In particular: + "Bjarne Stroustrup - The Essence of C++: With Examples in C++84, C++98, C++11, and C++14" - http://channel9.msdn.com/Events/GoingNative/2013 http://channel9.msdn.com/Events/GoingNative/2013 + "Sean Parent - C++ Seasoning" - http://channel9.msdn.com/Events/GoingNative/2013/Cpp-Seasoning http://channel9.msdn.com/Events/GoingNative/2013/Cpp-Seasoni... * BoostCon / C++Now!: https://github.com/boostcon/ https://github.com/boostcon/ There's _lots_ of interesting talks, so explore yourself :-) For instance, 2013 Keynote: "Dan Quinlan: C++ Use in High Performance Computing Within DOE: Past and Future" // http://2013.cppnow.org/session/keynote/ http://2013.cppnow.org/session/keynote/ // IMHO, it's worth watching these for staying up to date with the broader developments in the field -- e.g., according to the speaker (given who he is I'd assume credibility) most national labs, including Lawrence Livermore National Laboratory in particular, are quite actively adopting C++ (not C) and have been turning away from Fortran for some time now. HTH! :-)