effect
effect isolation in Python, to facilitate more purely functional code (by python-effect)
Toolz
A functional standard library for Python. (by pytoolz)
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| effect | Toolz | |
|---|---|---|
| - | 23 | |
| 365 | 4,520 | |
| 0.5% | 1.0% | |
| 2.6 | 4.2 | |
| almost 2 years ago | 4 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
effect
Posts with mentions or reviews of effect.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning effect yet.
Tracking mentions began in Dec 2020.
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?
-
[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
-
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
-
Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
-
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 effect and Toolz you can also consider the following projects:
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
Pyrsistent - Persistent/Immutable/Functional data structures for Python
returns - Make your functions return something meaningful, typed, and safe!