expressing generic data transformations naturally in syntax, requires: being able to wrap/unwrap data types (ie., pattern matching), composing operations, partially applying them, and providing syntax to support filter/map/flatMap on arbitrary data structures

Pythons failure to provide this, indeed, outright hostility to doing so is half the reason pandas is a mess of incomprehensible syntax

By prioritising assignment expressions and implementing pattern "matching" as a statement, they're clearly showing a lot of hostility to one of the major use cases of their language

(incidentally, recall that C# introduced LINQ in 2008, a generalised comprehension! That's C#.)

There isnt the syntax to reimplement to support natural phrasings of data transformation, in lieu of this, pandas exploits weird operators such as `.loc[a,b]`.

At some point the dam is going to have to break, and python is going to have to introduce something to resolve this mess. However, i'd bet it'll be a decade of tooth-and-nail fighting about it. It isnt a software engineering language for education any more, and i'm not seeing this reality being acknowledged