returns VS Toolz

returns – Make your functions return something meaningful, typed, and safe

you haven’t heard of https://github.com/dry-python/returns

returns from the DRY python group appears to offer similar functionality.

Not to diminish this at all, but https://github.com/dry-python/returns also exists. The scope is wider, but the look and feel of the types feels very similar.

https://github.com/dry-python/returns#maybe-container

You can decide for yourself what is more readable: all these lambdas or the `None and f()` code.

There is a Python library called returns (https://github.com/dry-python/returns) that allows you to write functional code in Python

My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.

I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.

toolz is wildly useful https://github.com/pytoolz/toolz

Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.

[0] https://github.com/pytoolz/toolz/

You'll probably enjoy toolz.