7 个仓库
Systems for managing the lifecycle, storage, and retrieval of data within application-specific databases.
Distinct from Application Data Management: Candidates are either too low-level (disk management) or focus on cloud provisioning/browser storage.
Explore 7 awesome GitHub repositories matching data & databases · Application Database Management. Refine with filters or upvote what's useful.
This project provides a collection of instructional guides and tutorials for Android app development, native mobile application creation, and computer science education. It focuses on building native applications through step-by-step implementation, covering the development of user interfaces and the integration of system hardware and permissions. The material extends into broader technical domains, including the study of fundamental data structures and algorithms for technical interview preparation. It also covers cybersecurity fundamentals, such as identifying web vulnerabilities and implem
Covers the storage, retrieval, and management of data for applications.
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 是一个技术参考库,提供了一系列精选的代码片段和实现模式,用于高级 Python 开发、系统集成和高性能计算。它充当实现底层网络编程、原生 C 扩展以及异步和并发编程的综合指南。 该项目为大语言模型的开发和部署提供了专门的框架,包括用于分布式 GPU 推理和高性能服务的工具。它还包括用于高性能计算集群编排的详细模式,涵盖 GPU 资源分配和多节点工作负载管理。 该库涵盖了广泛的功能,包括安全网络通信和加密、对象关系映射和数据库管理,以及复杂数据结构和算法的实现。它还提供用于内存管理、通过外部函数接口(FFI)进行原生互操作以及系统级 OS 集成的实用程序。
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.
This project is a comprehensive course on building server-side applications using the Node.js runtime and Express web framework. It provides instructional material for developing REST APIs, managing backend development, and creating web servers. The curriculum includes specialized guides for implementing user authentication systems, such as email verification and password reset flows, and a dedicated lab for integrating Stripe to handle recurring subscription billing and financial transactions. The course covers broad capability areas including MongoDB database integration for data storage,
Provides a system for managing the storage and retrieval of application data within a document database.
This project is an interactive educational platform and comprehensive curriculum designed to teach developers how to build, query, and integrate GraphQL APIs into full-stack applications. It provides a structured learning environment for mastering core concepts such as schema design, query execution, and the implementation of data-driven interfaces. The platform distinguishes itself by focusing on the practical application of real-time data synchronization and backend architecture. It guides users through the process of connecting frontend frameworks to relational databases, implementing role
Provides guidance on managing database lifecycles and data retrieval within application-specific contexts.