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re: Lost potential of personal computing VIEW POST

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re: Of course, horses for courses. I'm working on scientific, high performance computing both as a researcher and system administrator. Python has imp...

Great clarification. I think we're very much on the same page regarding C++ and Python, and their respective uses. I've been the lead on a game engine project for a while, and we use C++ for that, not Python. We need the additional control.

However, GUI is almost always a lot friendlier in Python than in C++, so I tend towards that for standalone application development.

Incidentally, C++14 and C++17 have added a number of "handles" to that double-edged blade. For example, std::unique_ptr and std::shared_ptr handle a lot of memory safety (and deallocation) challenges quite deftly.

P.S. You'd probably find some stuff interesting in PawLIB, especially the development version (v1.1). It attempts to merge performance with some sweeter syntax.

Thanks, it seems so. GUI was never a strong part of C++ programming, but I intend to learn Qt both on Python and C++. I've some small projects in my mind. Also, I really want to be able to use ncurses on C++.

I have big C++11 code base I'm working on (sorry, can't give many details about it but it's a scientific code), and I may migrate to the new pointers, but I must do extensive testing on performance. Some parts of the code is very very sensitive and very hot, so fiddling with these parts affects just about everything.

Thanks for the pointer to the PawLIB. It really looks interesting, however it doesn't address any of my bottlenecks for now. If I find anything limiting, will give its data structures a try. I'm using Eigen for matrices and algebra, Catch for testing, and Easylogging++ for logging. They addressed what I need so far.

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