Programming Language Productivity

Norvig [1] commented on two productivity studies by Prechelt [2] and Garret [3]. The results for the productivity of the languages isn't immediately apparent, so I extracted the relevant information as a "productivity summary" [4]. The results strongly indicate that programmers who solve a problem with fewer lines of code are more productive, irrespective of the language used. Thus languages which are more succinct could be said to be more productive.

For entertainment purposes, I solved the given problem in Python; it took me 1 hour 10 minutes, with 31 lines of code. I spent 10 minutes reading the problem, and 40 minutes fixing mistakes that I had made due to not reading the problem carefully enough. There is a lesson here...

(Productivity Summary) (My Solution)

Eight queens in Python

An elegant way to find all solutions to the 8-queens problem: generate all 8-castles solutions by a permutations() generator and filter the diagonals by checking that the set of diagonals represented has 8 elements. I implemented this algorithm in Python (17 lines) and C++ (66 lines).
(Python Code) (C++ Code)