Pyrsistent
returns
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Pyrsistent | returns | |
---|---|---|
6 | 20 | |
1,977 | 3,259 | |
- | 2.7% | |
7.2 | 9.1 | |
3 months ago | 2 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.
Pyrsistent
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Text Parsing: Now You Have Three Problems (David Beazley)
There are python libraries that implement Clojure style functional data types. Have you tried pyrsistent - https://github.com/tobgu/pyrsistent
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What are some amazing, great python external modules, libraries to explore?
Hissp is really interesting. Read through the docs and you'll understand Python more deeply. It works well with Toolz and Pyrsistent.
- When you discover deepcopy in python
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What is the proper way to create a new copy for list, dictionary, tuples, and array
This is normal for some functional languages, since by definition they should prohibit assignment and hence mutation. But you can also achieve a similar (not the same) effect in python, using libraries like pyrsistent (https://github.com/tobgu/pyrsistent/)
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Hello, HPy
It still is, and Cython is great for accelerating critical Python code.
A C extension is far preferable when you want to code in C, either to write a new data type[1], or write a Python frontend to a C library[2] that is too complex to be well supported by simple FFI.
I think people use Cython more internally when they value the maintainability of "mostly Python" over the fact that it's slower than what native C would get them.
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Toolz: A functional standard library for Python
There's Pyrsistent[1], which provides persistent data structures.
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?
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
funcy - A fancy and practical functional tools
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.