funcy VS awesome-functional-python

On an unrelated note, Python folks should check out OP's library funcy [1]: "A collection of fancy functional tools focused on practicality. Inspired by clojure, underscore and my own abstractions."

Thanks for the library Suor!

[1] https://github.com/Suor/funcy

Functional semantics are available in Python, but IMO not that great. List, dict, and generator comprehensions allow you to perform most operations that you would use in a functional first programming language and there are third party libraries like toolz and funcy that implement some of the more advanced operations. The main issue I've found with using Python as a functional language is it doesn't support fluent syntax. With Scala you can do a relatively complex map/filter/reduce operation with syntactic ease list_of_ints.map(x => x*x).filter(x => x%2 ==0).reduce(x,y => x+y) With Python it's just clunky and less readable b/c of support of list comprehension syntax over fluent syntax. sum([x**2 for x in list_of_ints if x % 2 == 0]) A codebase with 5000 lines of the Scala style code will be much readable and maintainable than with the Python style code.

Also worse looking at: https://github.com/suor/funcy

hi everyone .. sharing this link to "awesome functional python" :: https://github.com/sfermigier/awesome-functional-python .. i wish i would have found it a few months ago when starting my functional python journey, especially the libraries :)

Really strange new lands can be found in functional programming languages like Haskell, Elm, OCaml, Elixir, and the like. Functional programming in Python isn't something I have adopted fully, but I do find it a helpful paradigm. Interesting tools available for it.

https://github.com/mpkocher/Functional-Programming-Technique...

I covered a few core concepts (e.g., functions as first-class citizens, closures, partial application, etc...) and added a few real world examples of using a functional centric design. The text/format has some rough edges, but overall I think the text is useful for internalizing how to leverage a functional-ish approach.

Other resources.

https://github.com/sfermigier/awesome-functional-python

I see there is a short section about Python (6 resources).

I have been maintaining for the last 5 years a slightly richer collection at: https://github.com/sfermigier/awesome-functional-python/

1) It's not released on PyPI (there is a different project with the same name).

2) How different / better is it that the similar projects listed on: https://github.com/sfermigier/awesome-functional-python ? (Also: feel free to make a pull request if you want your project listed).

Cool, I thought it was dead (like the fictional character called, coincidently, "Snake"). I see that active development has restarted 6 months ago, seemingly. Kudos to everyone involved, specially @Kodiologist who seems the main contributor over the recent period.

(Shameless plug: more functional languages that look like Python, or compile to one of the Python VMs: https://github.com/sfermigier/awesome-functional-python#lang... ).