"may not" != "does not" I wasn't referring the the graphs anyway in regards to absolute productivity. Rather, I was referring to the parents claim that the lib

"may not" != "does not" I wasn't referring the the graphs anyway in regards to absolute productivity. Rather, I was referring to the parents claim that the library in python makes you more productive, which may be the case. Also, "why wouldn't they be"? Whitespace is boring. Maximizing useful space on each graph would require a different scale for each language. Also, productivity in each space is varies widely limiting apples-to-apples comparisons across languages (even within languages this is tricky). There's no question that for some workloads Python is more productive than C++ or Haskell. The discussion is really about what the learning curve for the language is (hence the title).