result
returns
result | returns | |
---|---|---|
7 | 20 | |
1,363 | 3,290 | |
3.5% | 1.6% | |
8.1 | 9.1 | |
about 1 month ago | 3 days ago | |
Python | Python | |
MIT License | BSD 2-clause "Simplified" License |
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.
result
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Ask HN: Anyone looking for contributors for their open source projects
https://github.com/rustedpy/result
Small Python library, slowly and steadily growing in use.
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Python errors as values: Comparing useful patterns from Rust and Go
The result package in the article: https://github.com/rustedpy/result
There's a pretty decent explanation in the readme. If you're more interested in Monads, I am not sure I'd cover that in a HN comment very well, but I would encourage you to take a look.
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Blog post: Writing Python like it’s Rust
For the part "Writing Python like it's Rust", did you try the result package? I didn't (yet?) use it as I feel that if I push to use it at work, I will fall in the Rustacean caricature..
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Rust-like error handling in Python with NamedTuple
Use the result package, if you want a proper, rusty result type. This approach is bad.
- A simple Rust-like Result type for Python
- Rust-like Result type for Python
returns
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This Week in Python (February 23, 2024)
returns – Make your functions return something meaningful, typed, and safe
- Python Functional Programming with returns library (type-safety, monads, etc.)
- GitHub - dry-python/returns: Make your functions return something meaningful, typed, and safe!
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[Media] Rust Results in Python :D
you haven’t heard of https://github.com/dry-python/returns
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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.
- Show HN: Koda, a Typesafe Functional Toolkit for Python
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Python/Pandas equivalent of CTE in SQL?
There is a Python library called returns (https://github.com/dry-python/returns) that allows you to write functional code in Python
What are some alternatives?
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Toolz - A functional standard library for Python.
CyToolz - Cython implementation of Toolz: High performance functional utilities
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
Coconut - Simple, elegant, Pythonic functional programming.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
funcy - A fancy and practical functional tools
effect - effect isolation in Python, to facilitate more purely functional code
classes - Smart, pythonic, ad-hoc, typed polymorphism for Python
Pyrsistent - Persistent/Immutable/Functional data structures for Python
pandas-stubs - Pandas type stubs. Helps you type-check your code.
fp-ts - Functional programming in TypeScript