funcy
A fancy and practical functional tools (by Suor)
returns
Make your functions return something meaningful, typed, and safe! (by dry-python)
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funcy | returns | |
---|---|---|
5 | 20 | |
3,247 | 3,226 | |
- | 3.9% | |
5.5 | 9.1 | |
5 days ago | 1 day ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
funcy
Posts with mentions or reviews of funcy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-18.
- Ask HN: How can I get better at writing production-level Python?
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Ban 1+N in Django
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!
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What can you do in Haskell that you can't do in Python(for example)?
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.
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Toolz - A functional standard library for Python
Also worse looking at: https://github.com/suor/funcy
returns
Posts with mentions or reviews of returns.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-23.
-
This Week in Python (February 23, 2024)
returns – Make your functions return something meaningful, typed, and safe
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Unleash the Power of Python Monads: A Design Pattern for Elegant Code!
returns from the DRY python group appears to offer similar functionality.
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Rust's Option and Result. In Python.
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.
- Functional python for data process
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Faif/Python-patterns: A collection of design patterns/idioms in Python
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.
One of the repos that I found interesting recently is https://github.com/dry-python/returns
- Show HN: Koda, a Typesafe Functional Toolkit for Python
- A simple Rust-like Result type for Python
-
What can you do in Haskell that you can't do in Python(for example)?
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.
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Make tests a part of your app
dry-python/returns is a library with primitives that make typed functional programming in Python easier.
What are some alternatives?
When comparing funcy and returns you can also consider the following projects:
Toolz - A functional standard library for Python.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
CyToolz - Cython implementation of Toolz: High performance functional utilities
Pyrsistent - Persistent/Immutable/Functional data structures for Python
Coconut - Simple, elegant, Pythonic functional programming.
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
effect - effect isolation in Python, to facilitate more purely functional code