returns
Toolz
returns | Toolz | |
---|---|---|
20 | 23 | |
3,510 | 4,665 | |
1.5% | 0.8% | |
9.3 | 4.6 | |
2 days ago | 7 days ago | |
Python | Python | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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
Toolz
- Ask HN: How can I get better at writing production-level Python?
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.
- REBL
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What are the best ways to learn Python and Pyspark for ML engineering?
I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.
- Toolz: A Functional Standard Library For Python
- Functional python for data process
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Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
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Show HN: Koda, a Typesafe Functional Toolkit for Python
Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.
[0] https://github.com/pytoolz/toolz/
- What're the cleanest, most beautifully written projects in Github that are worth studying the code?
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Functional programming beyond itertools
You'll probably enjoy toolz.
What are some alternatives?
CyToolz - Cython implementation of Toolz: High performance functional utilities
funcy - A fancy and practical functional tools
Coconut - Simple, elegant, Pythonic functional programming.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
Pyrsistent - Persistent/Immutable/Functional data structures for Python
classes - Smart, pythonic, ad-hoc, typed polymorphism for Python
effect - effect isolation in Python, to facilitate more purely functional code