Toolz
Functional-Programming-Techniques-In-Python
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Toolz | Functional-Programming-Techniques-In-Python | |
---|---|---|
23 | 11 | |
4,520 | 21 | |
1.0% | - | |
4.2 | 0.0 | |
2 days ago | over 3 years ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | - |
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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.
Functional-Programming-Techniques-In-Python
- Functional python for data process
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Python Design Patterns
https://github.com/mpkocher/Functional-Programming-Technique...
I covered a few core concepts (e.g., functions as first-class citizens, closures, partial application, etc...) and added a few real world examples of using a functional centric design. The text/format has some rough edges, but overall I think the text is useful for internalizing how to leverage a functional-ish approach.
Other resources.
https://github.com/sfermigier/awesome-functional-python
- Am I making things harder for myself by not using any OO stuff?
- Tuesday Daily Thread: Advanced questions
- Functional Programming in Python: When and How to Use It – Real Python
- In part 3 of my Write Better Python Code series, I show you how to use the strategy design pattern to write code that allows you to easily switch out parts of the code behaviour. I cover both the classic object-oriented version of the pattern, as well as a shorter functional version.
- gamla - async functional programming in python
- Should Coconut, a functional Python extension, be used in a real project yet?
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Toolz: A functional standard library for Python
Perhaps a custom compose function can help with these use cases? This series has a few examples of composing computation in Python that might be useful.
https://github.com/mpkocher/Functional-Programming-Technique...
And there's a general list of resources here.
https://github.com/sfermigier/awesome-functional-python
- Luxurious Life Of First Class Python Functions - For Python Beginners
What are some alternatives?
funcy - A fancy and practical functional tools
pydantic-cli - Turn Pydantic defined Data Models into CLI Tools
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
Pyrsistent - Persistent/Immutable/Functional data structures for Python
CyToolz - Cython implementation of Toolz: High performance functional utilities
ocaml-jupyter - An OCaml kernel for Jupyter (IPython) notebook
Coconut - Simple, elegant, Pythonic functional programming.
FizzBuzz Enterprise Edition - FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
returns - Make your functions return something meaningful, typed, and safe!
awesome-functional-python - A curated list of awesome things related to functional programming in Python.