returns
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returns | pfun | |
---|---|---|
20 | 3 | |
3,259 | 146 | |
2.7% | - | |
9.1 | 6.5 | |
6 days ago | 5 months ago | |
Python | Python | |
BSD 2-clause "Simplified" License | MIT 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.
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
pfun
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good examples of functional-like python code that one can study?
Another examples: pfun - stuff you'd find in FP language, but in Python (like using monads for effects)
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Effectful Programming in Machine Learning pipeline
I am a long-time Coconut user, so functional ideas are relatively easy to play with. But I recently discovered pfun which has a lovely system for Effectful programming.
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How To Make Functional Programming in Python Go Fast
In pfun 0.12.0 the interpreter for the effect system was completely re-written as a Python C extension. Lets do some benchmarking to see how big a difference this actually makes in terms of performance. We'll use the performance of the the Scala library ZIO as a baseline, as the pfun effect system draws most of its inspiration from there. ZIO has a fairly extensive benchmarking suite. The most obvious benchmark for testing raw interpreter speed, without any parallelism, is called deepLeftBind (bind is the canonical name for the and_then operation, also called flatMap in Scala):
What are some alternatives?
Toolz - A functional standard library for Python.
python-lenses - A python lens library for manipulating deeply nested immutable structures
CyToolz - Cython implementation of Toolz: High performance functional utilities
pandas-stubs - Pandas type stubs. Helps you type-check your code.
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
python-betterproto - Clean, modern, Python 3.6+ code generator & library for Protobuf 3 and async gRPC
Coconut - Simple, elegant, Pythonic functional programming.
patina - Python adaptations of Rust's Result, Option, and HashMap types. Ready for Python 3.10 pattern matching!
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
funcy - A fancy and practical functional tools
ZIO - ZIO — A type-safe, composable library for async and concurrent programming in Scala