glom
Toolz
glom | Toolz | |
---|---|---|
2 | 23 | |
1,829 | 4,521 | |
- | 0.6% | |
7.4 | 3.9 | |
3 months ago | 12 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
glom
- Ask HN: How can I get better at writing production-level Python?
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Is there a quicker way to check if a attribute within an attribute exists?
If your project requires writing this sort of code a lot, there are third-party libraries that can make it a bit easier. One example that comes to mind is glom (take a look at their tutorial).
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?
python-lenses - A python lens library for manipulating deeply nested immutable structures
funcy - A fancy and practical functional tools
best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
dotwiz - A blazing fast dict subclass that supports dot access notation.
CyToolz - Cython implementation of Toolz: High performance functional utilities
cuphic - Transform or scrape Hiccup with a declarative DSL.
Pyrsistent - Persistent/Immutable/Functional data structures for Python
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Coconut - Simple, elegant, Pythonic functional programming.
tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI
returns - Make your functions return something meaningful, typed, and safe!