classes
Smart, pythonic, ad-hoc, typed polymorphism for Python (by dry-python)
Toolz
A functional standard library for Python. (by pytoolz)
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| classes | Toolz | |
|---|---|---|
| 4 | 23 | |
| 641 | 4,508 | |
| 0.6% | 0.8% | |
| 2.0 | 4.2 | |
| 10 months ago | 29 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" 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.
classes
Posts with mentions or reviews of classes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-08.
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Typeclasses in Python
Today I am going to introduce a new concept for Python developers: typeclasses. It is a concept behind our new dry-python library called classes.
- dry-python/classes: Smart, pythonic, ad-hoc, typed polymorphism for Python. Also known as singledispatch on steroids
- Smart, pythonic, ad-hoc, typed polymorphism for Python
Toolz
Posts with mentions or reviews of Toolz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-18.
- 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?
When comparing classes and Toolz you can also consider the following projects:
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
funcy - A fancy and practical functional tools
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
returns - Make your functions return something meaningful, typed, and safe!
CyToolz - Cython implementation of Toolz: High performance functional utilities
effect - effect isolation in Python, to facilitate more purely functional code
Pyrsistent - Persistent/Immutable/Functional data structures for Python
Coconut - Simple, elegant, Pythonic functional programming.