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Let me be blunt: I dislike (hate?) Go for its error handling approach. However, with close to zero knowledge of the language, I was able to build a basic HTTP API that reads from the database in a couple of hours. I chose Gin Gonic for the web library and Gorm for the ORM. OpenTelemetry provides an integration with a couple of libraries, including Gin and Gorm. On the Dockerfile side, it's also pretty... - Source: dev.to / 20 days ago
Most golang backends I've seen meanwhile use or switched to using the "gin" framework to build their APIs. A lot of them also have conventions for the frontend, where the assets usually are stored in /public, so they can be go:embed later as an embed.FS instance into the binary. Having said that, there's plenty of examples on github. I'd recommend to take a look at bigger projects or templates and understand how... - Source: Hacker News / 5 months ago
Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development. - Source: dev.to / 5 months ago
In this blog, we will delve into the fascinating realm of handling images in a Golang application, leveraging the power of the Gin framework for RESTful API development, MongoDB as a robust NoSQL database, and the mongo-driver library for seamless interaction with MongoDB. To store images efficiently, we'll explore the intricacies of GridFS, a specification within MongoDB for storing large files as separate chunks. - Source: dev.to / 5 months ago
For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver,... - Source: dev.to / 9 months ago
How to Accomplish: Create a simple interface (CLI or GUI) where users can input an image, and the script processes and displays the model's prediction. For a CLI, use argparse to handle input arguments. For a GUI, consider libraries like Tkinter or web-based interfaces using FastAPI or Flask. The script should perform necessary preprocessing, invoke the model prediction, and present the results clearly, such as... - Source: dev.to / 3 days ago
Consider integrating Django with FastAPI for asynchronous endpoints if your application needs high-performance, non-blocking I/O operations. - Source: dev.to / 1 day ago
FastAPI: A web framework for building APIs (and web pages). It is used as the backbone of the application to handle web requests, routing, and server logic, and orchestrates the overall API structure. Although not used here, FastAPI provides robust features such as data validation, serialisation, and asynchronous request handling. - Source: dev.to / 4 days ago
This article will show you how to setup an API written in Python using an amazing framework called FastAPI. This article is an introduction on how to use the framework, I blog later on more advanced use cases. - Source: dev.to / 21 days ago
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used. - Source: dev.to / about 1 month ago
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