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Examples demonstrating how to map application objects to database schemas using object-relational mapping.
Distinct from Application Database Management: Distinct from Application Database Management: focuses on the implementation pattern of ORMs rather than the general management of the database lifecycle.
Explore 4 awesome GitHub repositories matching data & databases · ORM Implementation Examples. Refine with filters or upvote what's useful.
Flasky is a complete web application example and tutorial designed to demonstrate professional development patterns using the Flask framework. It serves as a practical implementation of a web service to teach server-side development, application structure, and the use of a Python object-relational mapper for database applications. The project provides a containerized environment that packages the web application and its database dependencies into isolated images. This ensures consistent behavior across different hosting platforms and includes configurations for production-grade server deploym
Demonstrates professional database schema management and relationship mapping using the SQLAlchemy ORM.
LearnPython is a programming tutorial consisting of a collection of practical code examples used to demonstrate Python language features and programming patterns. It serves as a comprehensive learning resource that implements core language concepts through functional code. The project provides specialized guides and samples covering several key domains. These include asynchronous network programming with event loops and coroutines, data visualization using numerical datasets for 2D and 3D plots, and web scraping for fetching content and automating login flows. It also features instructions on
Provides examples of mapping application objects to database schemas using object-relational mapping.
pysheeet ist eine technische Referenzbibliothek, die eine kuratierte Sammlung von Code-Snippets und Implementierungsmustern für fortgeschrittene Python-Entwicklung, Systemintegration und High-Performance-Computing bereitstellt. Sie dient als umfassender Leitfaden für die Implementierung von Low-Level-Netzwerkprogrammierung, nativen C-Erweiterungen sowie asynchroner und nebenläufiger Programmierung. Das Projekt bietet spezialisierte Frameworks für die Entwicklung und Bereitstellung von Large Language Models, einschließlich Werkzeugen für verteilte GPU-Inferenz und High-Performance-Serving. Es enthält zudem detaillierte Muster für die Orchestrierung von High-Performance-Computing-Clustern, die GPU-Ressourcenzuweisung und Multi-Node-Workload-Management abdecken. Die Bibliothek deckt ein breites Spektrum an Funktionen ab, einschließlich sicherer Netzwerkkommunikation und Kryptografie, Object-Relational-Mapping und Datenbankverwaltung sowie die Implementierung komplexer Datenstrukturen und Algorithmen. Sie bietet zudem Utilities für Speicherverwaltung, native Interoperabilität via Foreign-Function-Interfaces und systemnahe OS-Integration.
Demonstrates implementation patterns for mapping application objects to database schemas using ORMs.
This is a demonstration project that illustrates the classic SSM architecture pattern—combining SpringMVC, Spring, and MyBatis—for building scalable enterprise Java web applications. It serves as both a learning resource and a practical tutorial for developers who want to understand how these three frameworks work together in a full-stack context. The project provides a step-by-step guide for assembling SpringMVC, Spring, and MyBatis into a cohesive enterprise web application stack, covering everything from Spring dependency injection and transaction management to MyBatis database access and
Shows how to configure MyBatis for database access within a Spring-managed application.