[sankha93]

> Learning languages is big investment, and having dozens of languages around is not productive, human languages are consolidating over a few, English is by far the business language of the world

> Why does language design continue to be a subjective topic? its not like computers need cultures !

Learning languages are a big investment, that is indeed true. But the comparison with English is flawed - human languages are very ambiguous by nature and often the meaning is inferred based on the context we use words. This is often apparent when one wants to write something unambiguous in English: for example, a document that is legally binding - because you want to make things as precise as possible. Most legal documents hence define terms and then use them with meticulous detail. Indeed writing these down is such a complex task that we have an entire profession dedicated to them - lawyers. So put in another way what the lawyer is doing is defining abstractions for that document and then using them to write the binding terms and conditions in the document.

How is this related to programming languages? Well, a similar argument would be we should all use assembly for programming since that is what the CPUs use anyway. You are not wrong, but that would mean so much wasted effort by programmers to define basic abstractions for every program they will ever write. Programming languages are nothing but abstractions for the problem you are solving. And problems programmers solve vary wildly - a OS or driver developer worries about vastly different problems than a data scientists and their languages show that. This is why computer do not need "cultures", but programmers do. A kernel level programmer worries about manual memory management, and handles raw pointers on their own. A data scientist just cares about manipulating tables and training models. How the memory is managed is an extra detail that is not relevant to the problem domain and languages like Python provide an abstraction for that (a garbage collector).

This is why it is always good to experiment with languages. Probably 1 in a 100 language will become mainstream, but what these experiments give us are a medium to see what abstractions work successfully to represent programs in different domains. This is how object-oriented programming or garbage collectors are mainstream today. As far as Nim goes, I think it is a language that allows you to ship compiled native binaries without manual memory management with lots of Python like language features. So the intended audience is for people who want to ship binaries but want to use expressive features like iterators, etc like Python provides.