[anovick]

Cool project!

Wondering how custom immutable data structures fit in with the Python ecosystem.

Particularly, I know that NumPy arrays and Pandas Series/DataFrames are the popular data structures used in research computing in Python (for Statistics, Data Science, Machine Learning etc.). These data structures afaik are mutable, however (for performance reasons), so at least the aspect of immutability from Clojure cannot be easily integrated with the Python ecosystem.

[chrisrink10]

This project is much younger and used by many fewer people than Hy, so I couldn't really speak to this besides my own opinions. The few who have started using it and contributing seem to just be using it as a way to write Clojure while interacting with popular Python libraries and tools. Kind of the same way that interacting with the Java ecosystem is often more pleasant from Clojure (IMO) than in Java itself.

I've tried to facilitate strong Python interoperability despite the variety of otherwise incompatible features of each language. It's trivial to work with immutable data structures using Clojure idioms and then convert them to Python data structures (as needed) at the boundaries, but the immutable data structures used by Basilisp are also generally compatible with Python's core (read-only) interfaces so that conversion may also not be necessary if you aren't expecting the called function to perform any mutations.

[__mharrison__]

Most pandas experts recommend against mutating (or using inplace=True) with pandas.