example-code-2e
Toolz
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example-code-2e | Toolz | |
---|---|---|
3 | 23 | |
2,916 | 4,520 | |
4.1% | 1.0% | |
0.0 | 4.2 | |
7 months ago | 6 days ago | |
Python | Python | |
MIT License | 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.
example-code-2e
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Ask HN: How can I get better at writing production-level Python?
Yeah, reading the Fluent Python book[1] and / or following along with their support files[2] would a good way to start
[1] https://amzn.to/3J48u2J
[2] https://github.com/fluentpython/example-code-2e
- I want to make a deck of cards in Python. I seem to get the assignment wrong, even with using copy.deepcopy
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?
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
funcy - A fancy and practical functional tools
curio - Good Curio!
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
asynchrony - asyncio Python framework for writing safe and fast concurrent code
CyToolz - Cython implementation of Toolz: High performance functional utilities
interleave - Yield from multiple iterators as values become available
Pyrsistent - Persistent/Immutable/Functional data structures for Python
python-mastery - Advanced Python Mastery (course by @dabeaz)
Coconut - Simple, elegant, Pythonic functional programming.
hissp - It's Python with a Lissp.
returns - Make your functions return something meaningful, typed, and safe!