Readability means different things at different scales. Reading Python "in the small" is easy; it's looks like pseudocode. Once you start writing larger programs, between the 5k and 10k mark, the looseness of Python starts to become a burden. It can be very difficult to look at a piece of Python code in a large project and know exactly what it does. Dynamic typing means that a whole class of serious programming errors go unnoticed until runtime - and often only for a specific, uncommon input.
("Compulsory indentation" ?! Whomever works on a large project with others and doesn't format their code to the standard of the project should be taken out and shot. I'm only half-joking. Indentation has almost nothing to do with readability, though. It's just common sense.)
(I'm surprised to hear you say "there's only one way to do this" with regard to Python, as in my experience there are always several ways of doing anything, and it's not uncommon to see different/competing approaches used in a single project.)
I'm biased, but Go is a great choice for large-scale software development. It has the brevity of a scripting language, but being statically typed and compiled Go can be more reliable and efficient. It's also smaller and more consistent than any mainstream language. Because of this, you can typically look at a piece of Go code from any project and understand what's going on. This is because it's difficult to abuse Go in the same way you see done in the other four languages I've mentioned, and that is truly valuable at scale.
Um...it has EVERYTHING to do with readability. That is WHY it is just common sense.
The arguments I've read says that the "code scalability" is handled with more testing in the scripting languages. Is that wrong? I don't have statistics around, anyone got references?
(And yeah, indentation is mandatory. Implicit indentation often gets problems with copy/paste of code.)