Learn PostgreSQL Offline vs Learn GraphQL

PostgreSQL is a popular relational database management system (RDBMS). Our PostgreSQL tutorial provides basic and advanced concepts of PostgreSQL. In this tutorial, we are going to learn all the topics of PostgreSQL language, such as create a database, drop a database, select database, select table, update a record, create a table, delete record, drop table, triggers, functions, insert the record, procedures, cursors, etc. - What is PostgreSQL Database? PostgreSQL is an ORDBMS [Open-Source Object-Relational Database Management System]. It is used to store data securely; supporting best practices, and allow recovering them when the request is processed. - History of PostgreSQL PostgreSQL was developed by the PostgreSQL Global Development Group, which is led by a computer science professor named Michael Stonebraker at the University of California, Berkeley [UCB]. The professor's stonebreaker started in 1986 as a follow-up project and a post-Ingres project to overcome the problems of the existing database system. Initially, it was called as Postgres, but in 1996, the project was renamed to PostgreSQL. Then again, in 2007, they did some analysis, and the development team decided to preserve the name as PostgreSQL. And now, it is the most innovative open-source database available in the market.

Learn GraphQL the practical way: from your first query to production-grade APIs. Learn GraphQL is a complete course in your pocket, with bite-sized lessons, a built-in code playground, an AI tutor, cheat sheets, quizzes and real-world projects for beginners and pros alike. GraphQL is the query language for APIs used by modern apps everywhere. Ask for exactly the data you need, nothing more, in one request. This app teaches you how to design, build, secure, test and scale GraphQL APIs, and how to connect them to the frameworks you already use. WHAT YOU GET • Structured lessons: short, clear lessons that take you from GraphQL basics to advanced architecture, with code examples in every topic. • Code playground: write and run code right in the app, in JavaScript, TypeScript, Python or Bash, and see the results instantly. • AI coding assistant: ask questions, get concepts explained, debug errors and generate GraphQL examples whenever you're stuck. • Cheat sheets: quick-reference syntax for queries, mutations, schemas, resolvers, directives and more. • Quizzes & challenges: test what you know in the quiz arena and coding challenges. • Interview mode: practice the GraphQL and API questions asked in real developer interviews. • Guided projects: build real applications step by step, with checkpoints and hints along the way. • Spaced review: revisit key concepts at the right time so they stick. • Progress & streaks: track completed lessons, set study goals, and keep your daily streak going. • Notes, bookmarks & snippets: save lessons, write notes, and keep a personal library of code snippets. CORE GRAPHQL CURRICULUM • GraphQL fundamentals: types, fields, arguments, aliases, fragments and variables • Queries, mutations and subscriptions • Schema design, SDL, interfaces, unions and custom scalars • Resolvers, context and data fetching • Authentication and authorization (JWT, OAuth) • Pagination, error handling and best practices FRAMEWORKS & ECOSYSTEM TRACKS • Apollo GraphQL: Apollo Server, Apollo Client, Federation and Router • React, Next.js & Vue: Apollo Client, urql, graphql-request, Nuxt and the Next.js App Router • TypeScript: fully typed APIs and code generation • Node.js & NestJS: enterprise GraphQL APIs • Python: Strawberry, Ariadne, Graphene, FastAPI and Django • Go & Rust: gqlgen, async-graphql, Axum, Actix and SQLx • Flutter & Dart: graphql_flutter, caching and optimistic UI • Hasura: instant GraphQL on PostgreSQL with permissions and event triggers • AWS AppSync & serverless GraphQL with DynamoDB • Databases & ORMs: Prisma, PostgreSQL, MongoDB (Mongoose) and Redis ADVANCED & PROFESSIONAL TOPICS • Performance & scalability: DataLoader, solving N+1 queries, caching strategies • Federation & microservices: subgraphs, entities, schema stitching, API gateways • Real-time systems: subscriptions, WebSockets, Server-Sent Events, Pub/Sub, Kafka and RabbitMQ • API security engineering: RBAC/ABAC, query depth and complexity limits, rate limiting • Testing & quality: resolver unit tests, integration and contract tests, k6 load testing • DevOps: Docker, Docker Compose, Kubernetes and GitHub Actions CI/CD • Schema design & API governance: schema evolution, breaking-change detection, linting, schema registry • Developer tools: GraphiQL, Apollo Sandbox, Postman and type generation • GraphQL for AI, SaaS & e-commerce: LLM streaming, pgvector, RAG, multi-tenant platforms • Enterprise projects: social platforms, real-time dashboards, LMS systems and public developer APIs WHO IT'S FOR • Beginners learning to code who want a clear, guided path into APIs • Frontend developers working with React, Vue, Angular, Next.js or Flutter • Backend developers using Node.js, Python, Go, Rust or Java who are moving from REST to GraphQL From your first API to a federated graph at scale, Learn GraphQL gives you a structured path and the tools to practice. Download Learn GraphQL and start writing your first query today.