pandas-stubs
Pandas type stubs. Helps you type-check your code. (by VirtusLab)
returns
Make your functions return something meaningful, typed, and safe! (by dry-python)
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pandas-stubs | returns | |
---|---|---|
1 | 20 | |
118 | 3,280 | |
0.8% | 2.7% | |
0.0 | 9.1 | |
3 months ago | about 23 hours ago | |
Python | Python | |
MIT 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.
pandas-stubs
Posts with mentions or reviews of pandas-stubs.
We have used some of these posts to build our list of alternatives
and similar projects.
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How can I fix LSP showing as ERRORS for python library sentence?
I haven't had personal experience with using pandas with pyright but check out stubs for pandas. Maybe something like this could help. https://github.com/VirtusLab/pandas-stubs
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
- 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?
When comparing pandas-stubs and returns you can also consider the following projects:
pfun - Functional, composable, asynchronous, type-safe Python.
Toolz - A functional standard library for Python.