Dependency Injector
go
Dependency Injector | go | |
---|---|---|
7 | 2,075 | |
3,601 | 119,718 | |
1.3% | 0.7% | |
0.0 | 10.0 | |
2 months ago | 4 days ago | |
Python | Go | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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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.
go
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Go: the future encoding/json/v2 module
A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.
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Evolving the Go Standard Library with math/rand/v2
I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles
The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397
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Microsoft Maintains Go Fork for FIPS 140-2 Support
There used to be the GO FIPS branch :
https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...
But it looks dead.
And it looks like https://github.com/golang-fips/go as well.
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Borgo is a statically typed language that compiles to Go
I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:
- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644
- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412
Here are some excerpts from the latest Go survey [1]:
- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."
- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."
I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.
[1]: https://go.dev/blog/survey2024-h1-results
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
What are some alternatives?
django-rest-framework - Web APIs for Django. 🎸
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
kink - Dependency injection container made for Python
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
flask-restful - Simple framework for creating REST APIs
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
Angular - Deliver web apps with confidence 🚀
flask-api - Browsable web APIs for Flask.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020