https://kitfucoda.medium.com/the-versatility-of-call-a-python-developers-secret-weapon-a6bff776971a

Python's __call__ dunder offers a closure alternative. It manages state in a class, callable like a function, opening new code structuring possibilities.

In complex scenarios, __call__ enhances readability and maintainability. Encapsulating logic and data promotes cleaner code, improving clarity and debugging.

For pre-filling arguments, consider __call__ over functools.partial, especially with methods needing internal state. It creates a state-holding object for robust operations.

This is beneficial in large projects with complex logic. Using __call__ improves organization and maintainability, leading to efficient development.

#Python #Programming #SoftwareDevelopment #Coding #DunderMethods #ObjectOrientedProgramming #FunctionalProgramming #CodeReadability #SoftwareEngineering #OpenToWork #getfedihired

The Versatility of __call__: A Python Developer’s Secret Weapon

While reviewing the code in my current chatbot project, I discovered asyncio.to_thread accepts function parameters, removing the need to wrap the function with partial() as shown in the previous…

Medium
@jjasghar lol ! Took me seconds to realize the difference! Does some #python tool may have warn you about unknown #dundermethods ?

New article:

⚠️Why you should avoid import * in Python 🐍
https://pybit.es/articles/why-you-should-avoid-import-in-python/

Covering:
- Why modules are great and namespacing explained
- Why import * is a problem
- A practical example where a function gets overriden
- The recommended way to do imports
- What PEP8 has to say about this
- Protection workaround, use __all__ to define your module's public interface

#python #pythonprogramming #modules #encapsulation #namespacing #zenofpython #bestpractices #pitfalls #imports #dundermethods

⚠️Why You Should Avoid Import * In Python 🐍 - PyBites

However, not all ways of using modules are equally beneficial. In this article, we will discuss why using import * can be more problematic than it's worth,

PyBites