Comment keep 2 languages (Score 1) 108
i have experience in similar math-driven environments so can offer relevant thoughts.
a math-centric or faff-minimising prototyping environment is crucial whilst constructing the math models which you'll later be putting into Production. you want to absolutely minimise the Drag of the tool on the thought process. you can use MatLab or Excel or a piece of paper.
then take the result as being the Specification (Logical) which will feed into your development. your Production-ready code's particular Physical architecture will be influenced by that nasty thing called reality: performance, time/functionality tradeoffs, clients' hardware, legal requirements, that sort of thing.
you can use C++ if you want but i would advise against it unless you have strong historical/legacy lockins. for Maths work, Python's "NumPy" library actually runs faster than the standard C++ libraries (plus it can near-transparently use C/C++ libraries), and you avoid 99% of the time-wasting faff that C++ forces on the coders. so you develop several orders of magnitude faster. a lovely lovely language which slots straight into your mathematical environment.
e.g.: http://www.linuxjournal.com/article.php?sid=3882
a math-centric or faff-minimising prototyping environment is crucial whilst constructing the math models which you'll later be putting into Production. you want to absolutely minimise the Drag of the tool on the thought process. you can use MatLab or Excel or a piece of paper.
then take the result as being the Specification (Logical) which will feed into your development. your Production-ready code's particular Physical architecture will be influenced by that nasty thing called reality: performance, time/functionality tradeoffs, clients' hardware, legal requirements, that sort of thing.
you can use C++ if you want but i would advise against it unless you have strong historical/legacy lockins. for Maths work, Python's "NumPy" library actually runs faster than the standard C++ libraries (plus it can near-transparently use C/C++ libraries), and you avoid 99% of the time-wasting faff that C++ forces on the coders. so you develop several orders of magnitude faster. a lovely lovely language which slots straight into your mathematical environment.
e.g.: http://www.linuxjournal.com/article.php?sid=3882
