Schema inheritance in Marshmallow allows reuse of common fields and methods. It enhances code organization, reduces repetition, and enables customization. Base schemas can be extended, fields overridden, and multiple inheritance used for flexibility in Python serialization.
Zero-copy slicing and NumPy's high-performance features like broadcasting, vectorization, and memory mapping enable efficient data manipulation. These techniques save memory, improve speed, and allow handling of large datasets beyond RAM capacity.
Crafting a Future-Proof, Globally-Distributed FastAPI Deployment
Blazing Real-Time Communication with FastAPI and WebSockets: A Modern Developer's Dream
Effortlessly Stream Big Data with FastAPI: Master Asynchronous Responses for Optimal Performance
Connecting Flask with PostgreSQL: Crafting Your Web Application's Dynamic Duo
Flask, Flask-RESTful, and Marshmallow create a powerful ecosystem for building scalable APIs. They simplify development, handle data serialization, and provide robust validation, making API creation efficient and maintainable.
From Development Sluggishness to Production-Speed: Turbocharging Your Flask App
NestJS enables building robust dApp backends. It integrates with blockchain tech, allowing secure transactions, smart contract interactions, and user authentication via digital signatures. Layer 2 solutions enhance performance for scalable decentralized applications.
Unleashing FastAPI Deployment Potential with Docker, Minikube, and Kubernetes Magic
ZeroMQ: High-performance messaging library for Python. Offers versatile communication patterns, easy-to-use API, and excellent performance. Great for building distributed systems, from simple client-server to complex publish-subscribe architectures. Handles connection management and provides security features.
Turbocharge Your FastAPI with Redis Caching for Hyper-Speed API Responses
Building Bulletproof APIs: FastAPI and Pydantic as Your Dynamic Duo