python vs d

[Chris via Digitalmars-d]

My point is basically: a lot of projects / modules start out as 
little helper functions, prototypes or proofs-of-concept, but 
grow bigger very fast. Especially in the scientific community 
Python is popular because one can protoype very fast, test things 
etc. However, as the code base grows it becomes more and more 
obvious that Python is too slow and doesn't scale very well. I 
always say that if you have good code, think production and 
deployment, choose a systems programming language, it will pay in 
the end. Because the headaches you will have later with 
Python/Cython, will outweigh the initial advantages of "fast 
development". (I think it's better to develop a tad slowlier and 
consider various options for and aspects of a program than to 
have a quick success, but a solid mess. A lot has to do with 
impatience, not only deadlines).