Raymond Hettinger has a great talk about how much python's dict has improved over the years. So this is super interesting and will probably just make the builtin dict better eventually.
The lesson of the talk is that if you are idiomatic then you will benefit as the language improves.
Triplication tends to be where it becomes more clear what the correct thing to abstract or de-duplicate is.
It's of course possible to functional-ize segments of logic, but then the question of state mutation must be brought up. How isolated are these changes from other parts of the code / system state. Can this be run in parallel or is it something that must be serial? What potential race conditions exist?
C# has a dictator with a budget: Microsoft integrated async into C# in a formal way, with 5.0, including standard libs, debugging, docs, samples, clear guidance going forward, etc. What holes there were were dealt with in an orderly and timely manner.
JavaScript actually had a pretty messy start with async, with divergent conventions and techniques. Ultimately this got smoothed out with language additions, but it wasn't all that wonderful in the early days. Also, JavaScript started from a simpler place (single-threaded event loop) that never had "fork" and threads and all that comes with those, so there was less legacy to accommodate and fewer problems to overcome.
Python had a vast base of existing non-async software chock full of blocking code, plus an incomplete and haphazard concurrency evolution. There are several legacy concurrency solutions in Python, most still in use today. Python async is still competing and conflicting with it all. Not unlike the Python 2->3 transition.
The lesson of the talk is that if you are idiomatic then you will benefit as the language improves.
https://www.youtube.com/watch?v=npw4s1QTmPg
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