Fastapi development series - 7 series de libros (36 resultados)

Taschenbuch. Condición: Neu. Neuware - FastAPI Deployment with Docker and CI/CD is a practical guide for Python and FastAPI developers who want to move beyond local development and deploy production-ready APIs with confidence.Using a realistic project called DeployBoard API, the book walks through the complete deployment lifecycle: preparing FastAPI for production, containerizing applications with Docker, working with PostgreSQL and Docker Compose, automating tests, building CI/CD pipelines with GitHub Actions, publishing immutable container images, and deploying to cloud platforms such as Google Cloud Run, Amazon ECS with Fargate, Azure Container Apps, and Linux virtual machines.You will learn how to manage production configuration and secrets, design health checks, handle Alembic migrations safely, optimize Docker images, enforce quality gates, protect deployment workflows, configure HTTPS and reverse proxies, apply container security, monitor applications, scale responsibly, and plan for rollback and recovery.Rather than presenting Docker, testing, CI/CD, cloud hosting, and operations as separate topics, this book connects them into one practical production workflow.It is designed for developers who already understand FastAPI and want to learn how to ship and operate APIs professionally. No advanced DevOps experience is required.Code ? Test ? Containerize ? Publish ? Deploy ? Monitor ? RecoverMove beyond 'it works on my machine' and build FastAPI applications that are ready for real production environments.…

Taschenbuch. Condición: Neu. Neuware - Build FastAPI applications you can change, refactor, and deploy with confidence.Writing an API that works is only the beginning. As FastAPI projects grow to include databases, authentication, permissions, asynchronous operations, and external services, reliable automated testing becomes essential.FastAPI Testing with Pytest and HTTPX is a practical guide to designing clear, maintainable, and production-ready test suites for modern Python APIs. Rather than relying on isolated examples, the book develops a structured testing workflow that can be applied to real FastAPI projects.You will learn how to test individual business rules, API endpoints, request validation, CRUD operations, database behavior, authentication flows, authorization rules, and external integrations. You will also work with Pytest fixtures, FastAPI dependency overrides, TestClient, HTTPX AsyncClient, ASGITransport, AnyIO, SQLAlchemy test databases, mocking, monkeypatching, parametrized tests, and coverage tools.As the book progresses, you will learn how to isolate database tests with transactions and rollbacks, verify JWT authentication and protected routes, test roles and resource ownership, mock external HTTP services and side effects, control environment variables and time, and prevent brittle or flaky tests.The final chapters bring these techniques together into a production-focused workflow using organized unit, integration, and API test suites, Pytest markers, PostgreSQL containers, continuous integration, and release validation.Whether you are strengthening an existing FastAPI application or building a professional testing strategy from the beginning, this book will help you create tests that catch meaningful regressions, support safer refactoring, and give you greater confidence every time your backend changes.…

Taschenbuch. Condición: Neu. Neuware - FastAPI can be fast. But building an API that stays fast when traffic grows, databases become busy, dependencies slow down, and hundreds of requests arrive at the same time requires more than choosing a high-performance framework.FastAPI Performance and Scalable Architecture is a practical guide to designing, measuring, optimizing, and scaling production FastAPI applications.Instead of relying on performance myths or isolated benchmarks, this book teaches you how to understand where time is actually being spent, identify the resource limiting your application, make targeted improvements, and verify the results with realistic measurements.Throughout the book, you will build and evolve ScaleStore API, a production-minded catalog and order-processing service that exposes the same performance challenges found in real backend systems. You will move from a simple FastAPI application to an architecture using PostgreSQL, SQLAlchemy, Redis, Celery, multiple application replicas, load balancing, performance testing, and production observability.You will learn how to: - Measure latency, throughput, concurrency, saturation, p95, and p99 performance- Use async I/O correctly without accidentally blocking the event loop- Control concurrency with timeouts, cancellation, connection pools, and backpressure- Profile Python code and build realistic load, stress, spike, and soak tests with k6- Optimize PostgreSQL queries, indexes, SQLAlchemy sessions, and connection pools- Prevent N+1 queries and design efficient pagination and data-access patterns- Build Redis caching with TTLs, invalidation, stampede protection, and stale-while-revalidate strategies- Move durable and CPU-heavy work to Celery workers- Design idempotent tasks, retries, queue limits, and worker-capacity strategies- Scale FastAPI with Uvicorn workers, containers, stateless replicas, and load balancers- Use autoscaling, load shedding, bulkheads, and graceful degradation- Monitor production systems with metrics, logs, traces, SLOs, alerts, and capacity dashboards- Diagnose real performance failures through hands-on labs, case studies, troubleshooting guides, and production runbooksThis is not a book about chasing the highest requests-per-second benchmark. It is about building APIs that remain predictable, measurable, resilient, and efficient under real production pressure.If you already understand the fundamentals of Python and FastAPI and are ready to move beyond simply building APIs into performance engineering and scalable backend architecture, this book provides the practical next step.Build FastAPI services that do more than run fast in development. Build systems whose limits you can measure, explain, and scale with confidence.…

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware - Move beyond basic FastAPI routes and learn how to build database-backed Python APIs that are structured for real-world development.FastAPI makes it easy to create modern APIs-but production applications need reliable persistence, safe database operations, maintainable models, controlled schema changes, and efficient queries.FastAPI with PostgreSQL and SQLAlchemy takes you step by step through building a practical relational database layer for FastAPI using modern Python development practices.Instead of disconnected examples, you will build and evolve a realistic SupportDesk API, learning how customers, tickets, comments, and tags fit together inside a relational backend.You will learn how to: - Connect FastAPI to PostgreSQL with SQLAlchemy 2.x and Psycopg 3- Configure database URLs and manage SQLAlchemy Engines and Sessions safely- Design modern ORM models with Mapped, mapped_column, constraints, defaults, indexes, and timestamps- Manage database schema changes with Alembic migrations- Build complete Create, Read, Update, and Delete (CRUD) APIs- Separate database operations from FastAPI route logic- Model one-to-many and many-to-many relationships- Work with foreign keys, association tables, cascades, and related data- Prevent N+1 query problems with deliberate relationship loading- Connect Pydantic schemas cleanly to SQLAlchemy ORM models- Add filtering, sorting, and pagination to database queries- Handle database errors, transactions, commits, and rollbacks correctly- Improve query performance with indexes, bounded queries, and PostgreSQL execution plans- Manage environment configuration, secrets, and connection pooling- Test real PostgreSQL database operations- Prepare Alembic migrations and FastAPI database infrastructure for production deploymentThe book focuses on modern SQLAlchemy 2.x patterns, avoiding outdated session.query() tutorials and unnecessary architectural complexity. Each concept is introduced when it becomes useful, with practical code and clear explanations of what FastAPI, SQLAlchemy, Psycopg, Alembic, Pydantic, and PostgreSQL are each responsible for.This book is ideal for Python developers who already understand basic FastAPI concepts and are ready to build APIs that store and manage real relational data. No advanced PostgreSQL or SQLAlchemy experience is required.By the end, you will understand not only how to connect FastAPI to a database, but how to design a database-backed API that is maintainable, testable, transaction-safe, migration-ready, and prepared for production.Build the database foundation your FastAPI applications need to grow beyond simple demos and into real backend systems.Book 2 of the FastAPI Development Series. …

Taschenbuch. Condición: Neu. Neuware - FastAPI for Python Backend DevelopmentBuild modern REST APIs with Python, FastAPI, Pydantic, CRUD operations, dependency injection, validation, and real-world backend patterns.If you already know basic Python and want to move into backend development, this book gives you a practical, beginner-friendly path into FastAPI.Instead of learning through disconnected examples, you'll build TaskFlow, a complete task-management API that grows throughout the book.You'll learn how to: - Build and run FastAPI applications- Design RESTful routes and endpoints- Handle path, query, and request-body data- Validate data with Pydantic models- Build complete CRUD APIs- Use status codes and HTTPException- Add filtering, search, and pagination- Work with dependency injection and Depends- Organize applications with APIRouter- Separate routers, schemas, services, and configuration- Use async operations, file uploads, background tasks, middleware, and CORS- Improve Swagger UI, ReDoc, and OpenAPI documentationBy the end, you'll understand how the main pieces of a modern FastAPI backend work together: Client Request ? Route ? Validation ? Dependency ? Service Logic ? ResponseThis book is ideal for Python beginners, self-taught developers, students, and programmers moving from scripts into professional backend and API development.FastAPI for Python Backend Development is Book 1 of the FastAPI Development Series, preparing you for the next stage: FastAPI with PostgreSQL and SQLAlchemy.Start building real FastAPI backends with confidence.…

Paperback. Condición: new. Paperback. Build FastAPI applications you can change, refactor, and deploy with confidence.Writing an API that works is only the beginning. As FastAPI projects grow to include databases, authentication, permissions, asynchronous operations, and external services, reliable automated testing becomes essential.FastAPI Testing with Pytest and HTTPX is a practical guide to designing clear, maintainable, and production-ready test suites for modern Python APIs. Rather than relying on isolated examples, the book develops a structured testing workflow that can be applied to real FastAPI projects.You will learn how to test individual business rules, API endpoints, request validation, CRUD operations, database behavior, authentication flows, authorization rules, and external integrations. You will also work with Pytest fixtures, FastAPI dependency overrides, TestClient, HTTPX AsyncClient, ASGITransport, AnyIO, SQLAlchemy test databases, mocking, monkeypatching, parametrized tests, and coverage tools.As the book progresses, you will learn how to isolate database tests with transactions and rollbacks, verify JWT authentication and protected routes, test roles and resource ownership, mock external HTTP services and side effects, control environment variables and time, and prevent brittle or flaky tests.The final chapters bring these techniques together into a production-focused workflow using organized unit, integration, and API test suites, Pytest markers, PostgreSQL containers, continuous integration, and release validation.Whether you are strengthening an existing FastAPI application or building a professional testing strategy from the beginning, this book will help you create tests that catch meaningful regressions, support safer refactoring, and give you greater confidence every time your backend changes. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. FastAPI Deployment with Docker and CI/CD is a practical guide for Python and FastAPI developers who want to move beyond local development and deploy production-ready APIs with confidence.Using a realistic project called DeployBoard API, the book walks through the complete deployment lifecycle: preparing FastAPI for production, containerizing applications with Docker, working with PostgreSQL and Docker Compose, automating tests, building CI/CD pipelines with GitHub Actions, publishing immutable container images, and deploying to cloud platforms such as Google Cloud Run, Amazon ECS with Fargate, Azure Container Apps, and Linux virtual machines.You will learn how to manage production configuration and secrets, design health checks, handle Alembic migrations safely, optimize Docker images, enforce quality gates, protect deployment workflows, configure HTTPS and reverse proxies, apply container security, monitor applications, scale responsibly, and plan for rollback and recovery.Rather than presenting Docker, testing, CI/CD, cloud hosting, and operations as separate topics, this book connects them into one practical production workflow.It is designed for developers who already understand FastAPI and want to learn how to ship and operate APIs professionally. No advanced DevOps experience is required.Code Test Containerize Publish Deploy Monitor RecoverMove beyond "it works on my machine" and build FastAPI applications that are ready for real production environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. BUILD A PRODUCTION-READY SAAS BACKEND WITH FASTAPIBuilding a SaaS application takes more than creating API endpoints and connecting a payment provider. You need reliable tenant isolation, authentication, permissions, subscriptions, background jobs, testing, and production-ready architecture.Building SaaS Backends with FastAPI guides you through building a multi-tenant SaaS backend using FastAPI, PostgreSQL, SQLAlchemy, Redis, background workers, automated testing, Docker, and CI/CD.You will build OrbitDesk, a collaboration SaaS application with organizations, workspaces, projects, tasks, memberships, roles, subscriptions, usage limits, background workflows, and audit records.Inside, you'll learn how to: Design secure multi-tenant SaaS architecture and transaction boundaries.Build modular FastAPI applications that can evolve as the product grows.Model tenant-owned data with PostgreSQL and SQLAlchemy.Implement authentication, invitations, organization switching, and recovery flows.Build teams, roles, permissions, resource policies, and audit trails.Design subscriptions, entitlements, quotas, usage metering, and billing workflows.Handle duplicate and out-of-order billing webhooks, upgrades, downgrades, and reconciliation.Build reliable Redis background jobs with idempotent processing and scheduled workflows.Apply the Transactional Outbox Pattern for reliable asynchronous operations.Test tenant isolation, authorization, concurrency, security, migrations, and failure scenarios.Deploy with Docker, PostgreSQL, Redis, health checks, logging, metrics, and operational monitoring.Build safer CI/CD and database migration workflows.Prepare for production scaling, launch, recovery, rollback, and ongoing operations.The book addresses real SaaS challenges including cross-tenant data exposure, concurrent writes, repeated webhooks, quota races, failed background jobs, database migrations, provider outages, and production recovery.Each chapter builds on the same OrbitDesk codebase, connecting database design, authentication, authorization, billing, asynchronous processing, testing, and deployment into one practical architecture.Ideal for: Python and FastAPI developers ready to build serious SaaS backends.Backend engineers moving from single-tenant to multi-tenant systems.Technical founders building products with teams, subscriptions, quotas, and background workflows.Developers seeking practical PostgreSQL and SQLAlchemy patterns for SaaS applications.Move beyond isolated FastAPI examples and learn how the major backend boundaries fit together in a real production-oriented, multi-tenant SaaS architecture. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. FastAPI can be fast. But building an API that stays fast when traffic grows, databases become busy, dependencies slow down, and hundreds of requests arrive at the same time requires more than choosing a high-performance framework.FastAPI Performance and Scalable Architecture is a practical guide to designing, measuring, optimizing, and scaling production FastAPI applications.Instead of relying on performance myths or isolated benchmarks, this book teaches you how to understand where time is actually being spent, identify the resource limiting your application, make targeted improvements, and verify the results with realistic measurements.Throughout the book, you will build and evolve ScaleStore API, a production-minded catalog and order-processing service that exposes the same performance challenges found in real backend systems. You will move from a simple FastAPI application to an architecture using PostgreSQL, SQLAlchemy, Redis, Celery, multiple application replicas, load balancing, performance testing, and production observability.You will learn how to: - Measure latency, throughput, concurrency, saturation, p95, and p99 performance- Use async I/O correctly without accidentally blocking the event loop- Control concurrency with timeouts, cancellation, connection pools, and backpressure- Profile Python code and build realistic load, stress, spike, and soak tests with k6- Optimize PostgreSQL queries, indexes, SQLAlchemy sessions, and connection pools- Prevent N+1 queries and design efficient pagination and data-access patterns- Build Redis caching with TTLs, invalidation, stampede protection, and stale-while-revalidate strategies- Move durable and CPU-heavy work to Celery workers- Design idempotent tasks, retries, queue limits, and worker-capacity strategies- Scale FastAPI with Uvicorn workers, containers, stateless replicas, and load balancers- Use autoscaling, load shedding, bulkheads, and graceful degradation- Monitor production systems with metrics, logs, traces, SLOs, alerts, and capacity dashboards- Diagnose real performance failures through hands-on labs, case studies, troubleshooting guides, and production runbooksThis is not a book about chasing the highest requests-per-second benchmark. It is about building APIs that remain predictable, measurable, resilient, and efficient under real production pressure.If you already understand the fundamentals of Python and FastAPI and are ready to move beyond simply building APIs into performance engineering and scalable backend architecture, this book provides the practical next step.Build FastAPI services that do more than run fast in development. Build systems whose limits you can measure, explain, and scale with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Move beyond basic FastAPI routes and learn how to build database-backed Python APIs that are structured for real-world development.FastAPI makes it easy to create modern APIs-but production applications need reliable persistence, safe database operations, maintainable models, controlled schema changes, and efficient queries.FastAPI with PostgreSQL and SQLAlchemy takes you step by step through building a practical relational database layer for FastAPI using modern Python development practices.Instead of disconnected examples, you will build and evolve a realistic SupportDesk API, learning how customers, tickets, comments, and tags fit together inside a relational backend.You will learn how to: Connect FastAPI to PostgreSQL with SQLAlchemy 2.x and Psycopg 3Configure database URLs and manage SQLAlchemy Engines and Sessions safelyDesign modern ORM models with Mapped, mapped_column, constraints, defaults, indexes, and timestampsManage database schema changes with Alembic migrationsBuild complete Create, Read, Update, and Delete (CRUD) APIsSeparate database operations from FastAPI route logicModel one-to-many and many-to-many relationshipsWork with foreign keys, association tables, cascades, and related dataPrevent N+1 query problems with deliberate relationship loadingConnect Pydantic schemas cleanly to SQLAlchemy ORM modelsAdd filtering, sorting, and pagination to database queriesHandle database errors, transactions, commits, and rollbacks correctlyImprove query performance with indexes, bounded queries, and PostgreSQL execution plansManage environment configuration, secrets, and connection poolingTest real PostgreSQL database operationsPrepare Alembic migrations and FastAPI database infrastructure for production deploymentThe book focuses on modern SQLAlchemy 2.x patterns, avoiding outdated session.query() tutorials and unnecessary architectural complexity. Each concept is introduced when it becomes useful, with practical code and clear explanations of what FastAPI, SQLAlchemy, Psycopg, Alembic, Pydantic, and PostgreSQL are each responsible for.This book is ideal for Python developers who already understand basic FastAPI concepts and are ready to build APIs that store and manage real relational data. No advanced PostgreSQL or SQLAlchemy experience is required.By the end, you will understand not only how to connect FastAPI to a database, but how to design a database-backed API that is maintainable, testable, transaction-safe, migration-ready, and prepared for production.Build the database foundation your FastAPI applications need to grow beyond simple demos and into real backend systems.Book 2 of the FastAPI Development Series. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. FastAPI for Python Backend DevelopmentBuild modern REST APIs with Python, FastAPI, Pydantic, CRUD operations, dependency injection, validation, and real-world backend patterns.If you already know basic Python and want to move into backend development, this book gives you a practical, beginner-friendly path into FastAPI.Instead of learning through disconnected examples, you'll build TaskFlow, a complete task-management API that grows throughout the book.You'll learn how to: Build and run FastAPI applicationsDesign RESTful routes and endpointsHandle path, query, and request-body dataValidate data with Pydantic modelsBuild complete CRUD APIsUse status codes and HTTPExceptionAdd filtering, search, and paginationWork with dependency injection and DependsOrganize applications with APIRouterSeparate routers, schemas, services, and configurationUse async operations, file uploads, background tasks, middleware, and CORSImprove Swagger UI, ReDoc, and OpenAPI documentationBy the end, you'll understand how the main pieces of a modern FastAPI backend work together: Client Request Route Validation Dependency Service Logic ResponseThis book is ideal for Python beginners, self-taught developers, students, and programmers moving from scripts into professional backend and API development.FastAPI for Python Backend Development is Book 1 of the FastAPI Development Series, preparing you for the next stage: FastAPI with PostgreSQL and SQLAlchemy.Start building real FastAPI backends with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.