guilded.py
Dependency Injector
guilded.py | Dependency Injector | |
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2 | 7 | |
132 | 3,601 | |
- | 1.3% | |
8.6 | 0.0 | |
4 days ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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guilded.py
- [Guilded] Comment obtenir le jeton d'un bot guillé pour le coder?
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How do you get the token of a guilded bot for coding it?
So recently guilded has shown that you can now mak your own third party bot (https://github.com/shayypy/guilded.py)
Dependency Injector
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Java 21 makes me like Java again
Nothing to do with the nature of the language, but with the nature of the program.
If you're writing a few line script, you don't need a DI container. Once your program gets large, it becomes extremely messy without one. It's no surprise projects like [1] exist.
[1] https://github.com/ets-labs/python-dependency-injector
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Do You Use Singletons?
Totally agree with this. And I’ve found this pattern pairs really well with https://python-dependency-injector.ets-labs.org/
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Compclasses: prefer composition over inheritance
dependency_injector: https://github.com/ets-labs/python-dependency-injector
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Loosely coupled Python code with Dependency Injection
As projects continue to grow, its recommended to utilise a dependency injection framework to “inject” these dependencies, such as Dependency Injector, to inject dependency arguments automatically ✨.
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What is the best practice for injecting configuration into a python application
One approach is to pass this config as a variable to every class it is required, which I dont prefer. Another option is to annotate the config class as singleton and create the config object at every place where I need them. I also came across this library called Dependency_Injector. https://python-dependency-injector.ets-labs.org/ This seems a bit heavy weight for my use case though. I am looking forward to know how other solve this problem
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Dependency Injection and Python
Dependency Injector
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Introduction to Dependency Injection in Python
dependency-injector (docs) is python library that provides a framework which enables you to implement DI and IoC in Python.
What are some alternatives?
Uplink - A Declarative HTTP Client for Python
django-rest-framework - Web APIs for Django. 🎸
kink - Dependency injection container made for Python
flask-restful - Simple framework for creating REST APIs
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
flask-api - Browsable web APIs for Flask.
Flask-Redis - A Flask extension for using Redis
Tweepy - Twitter for Python!
aioredis - asyncio (PEP 3156) Redis support
sandman - Sandman "makes things REST".
RestMapper - RestMapper takes the pain out of integrating with RESTful APIs.