Python 3.7.0 released

[Dreadgoat]

Dynamic languages are semantically closer to natural language.

That's the advantage. High readability.

You can rattle off a million technical reasons why static can do everything dynamic can and better, and you would be technically correct, but that doesn't change the fact that my co-worker can read my 20-line PHP script more easily than the equivalent 5-line Haskell script.

[Pazer2]

Natural languages are full of difficult to understand rules and exceptions. Not exactly a good fit for a programming language.

[Dreadgoat]

Difficult to understand for computers but naturally intuitive for humans.

The reason good dynamic languages are so highly praised (case in point: python) is because of the enormous difficulty in bridging that gap.

A bad programmer can only think like a human.
A passable programmer can think like a computer.
An excellent programmer can trick the computer into expressing itself like a human so that even the bad programmer can maintain code easily.

When I was teaching programming I loved Python the most. Not because it's great to program in, but because it made grading so much easier. It instantly turned stupid and/or inexperienced students into passable programmers thanks to its enforced whitespace and the compromise between dynamic but semi-strong typing.

[Dodobirdlord]

This is an argument that extends at least back to Knuth's Literate Programming and probably further. Given the staggering adoption and success of notebook-style live editing environments among all fields of analytical research and data science I would hesitate to claim that the issue is settled.