Toolz
RxPY
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| Toolz | RxPY | |
|---|---|---|
| 23 | 4 | |
| 4,520 | 4,680 | |
| 1.0% | 0.9% | |
| 4.2 | 0.0 | |
| 1 day ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT 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.
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.
RxPY
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Should python add a pipeline operator?
Awaiting that why not simply using RxPy:
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Arquitetura orientada a eventos com lambda functions no Python
Neste tutorial, exploraremos a biblioteca RxPY, que é a biblioteca mais popular atualmente disponível para escrever sistemas reativos.
- How to build always listening/responding application?
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The pipe-operator to python |>
As one of the developers of RxPy, I think this would allow all streaming libraries to cohabit together, like AsyncIO did for asynchronous programming in python.
What are some alternatives?
funcy - A fancy and practical functional tools
PyFunctional - Python library for creating data pipelines with chain functional programming
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
rxray - Ray distributed computing integration for RxPY
CyToolz - Cython implementation of Toolz: High performance functional utilities
awesome-functional-python - A curated list of awesome things related to functional programming in Python.
Pyrsistent - Persistent/Immutable/Functional data structures for Python
proposals - Tracking ECMAScript Proposals
Coconut - Simple, elegant, Pythonic functional programming.
django-sockpuppet - Build reactive applications with the django tooling you already know and love.
returns - Make your functions return something meaningful, typed, and safe!
function-pipe - Tools for extended function composition and pipelines in Python