Isbn: 9789349174474 - practical python backend programming, second edition: hands-on backend development with fastapi, mongodb, docker, kubernetes, and message brokers using python 3.14 (8 resultados)

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  • Idioma: Inglés

    Editorial: GitforGits, 2026

    9349174472 / 9789349174474

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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  • Idioma: Inglés

    Editorial: GitforGits, 2026

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Gitforgits, 2026

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Paperback. Condición: new. Paperback. All your apps are running on backend systems, and Python gives you one of the best stacks out there for building them.This edition has been fully revised for Python 3.14, and it puts FastAPI at the centre, with a single real project (a University API) growing across every chapter. It'll be great to use Pydantic to design typed endpoints, work with PostgreSQL and MongoDB through modern async drivers, write concurrent code with structured concurrency, secure your services with PyJWT and OAuth2, and ship everything through Docker, Kubernetes, and CI/CD pipelines. After that, you'll get into microservices, AWS Lambda, gRPC, and message brokers like Kafka and RabbitMQ.This book is a practical guide for you, not an exhaustive mastery manual. It'll give you the skills you need to get the job done, with all the knowledge you can use straight away. You won't get lost in the details, but the theory will be there when you need it. If you want to build, deploy, and operate Python backends with confidence, this is the place to start.Key LearningsBuild typed, self-documenting REST APIs with FastAPI, Pydantic, and modern Python type hints.Structure growing services with routers, dependency injection, settings, and lifespan-managed resources.Model data in PostgreSQL and MongoDB using SQLAlchemy 2.0 and PyMongo async.Write concurrent backends with asyncio, TaskGroup, timeouts, and async database access.Secure applications using PyJWT, OAuth2, role-based access control, and two-factor authentication.Containerize and deploy services with Docker, Kubernetes, Nginx, and HTTPS.Automate testing and delivery through pytest and GitHub Actions pipelines.Decompose monoliths into microservices communicating over REST and gRPC.Run serverless workloads on AWS Lambda using the Python 3.14 runtime.Process events and background work with Kafka, Celery, and RabbitMQ.Table of ContentFundamentals of Backend DevelopmentGetting Started with FastAPIAdvanced FastAPI DevelopmentFlask EssentialsWorking with DatabasesAsynchronous Programming in PythonUser Management and SecurityDeploying Python Backend ApplicationsMicroservices and Cloud IntegrationMessage Brokers and Asynchronous Task Processing This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Gitforgits Jul 2026, 2026

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 202 pp. Englisch.

  • Idioma: Inglés

    Editorial: Gitforgits, 2026

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Paperback. Condición: new. Paperback. All your apps are running on backend systems, and Python gives you one of the best stacks out there for building them.This edition has been fully revised for Python 3.14, and it puts FastAPI at the centre, with a single real project (a University API) growing across every chapter. It'll be great to use Pydantic to design typed endpoints, work with PostgreSQL and MongoDB through modern async drivers, write concurrent code with structured concurrency, secure your services with PyJWT and OAuth2, and ship everything through Docker, Kubernetes, and CI/CD pipelines. After that, you'll get into microservices, AWS Lambda, gRPC, and message brokers like Kafka and RabbitMQ.This book is a practical guide for you, not an exhaustive mastery manual. It'll give you the skills you need to get the job done, with all the knowledge you can use straight away. You won't get lost in the details, but the theory will be there when you need it. If you want to build, deploy, and operate Python backends with confidence, this is the place to start.Key LearningsBuild typed, self-documenting REST APIs with FastAPI, Pydantic, and modern Python type hints.Structure growing services with routers, dependency injection, settings, and lifespan-managed resources.Model data in PostgreSQL and MongoDB using SQLAlchemy 2.0 and PyMongo async.Write concurrent backends with asyncio, TaskGroup, timeouts, and async database access.Secure applications using PyJWT, OAuth2, role-based access control, and two-factor authentication.Containerize and deploy services with Docker, Kubernetes, Nginx, and HTTPS.Automate testing and delivery through pytest and GitHub Actions pipelines.Decompose monoliths into microservices communicating over REST and gRPC.Run serverless workloads on AWS Lambda using the Python 3.14 runtime.Process events and background work with Kafka, Celery, and RabbitMQ.Table of ContentFundamentals of Backend DevelopmentGetting Started with FastAPIAdvanced FastAPI DevelopmentFlask EssentialsWorking with DatabasesAsynchronous Programming in PythonUser Management and SecurityDeploying Python Backend ApplicationsMicroservices and Cloud IntegrationMessage Brokers and Asynchronous Task Processing This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Idioma: Inglés

    Editorial: Gitforgits, 2026

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    EUR 68,42

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    Paperback. Condición: new. Paperback. All your apps are running on backend systems, and Python gives you one of the best stacks out there for building them.This edition has been fully revised for Python 3.14, and it puts FastAPI at the centre, with a single real project (a University API) growing across every chapter. It'll be great to use Pydantic to design typed endpoints, work with PostgreSQL and MongoDB through modern async drivers, write concurrent code with structured concurrency, secure your services with PyJWT and OAuth2, and ship everything through Docker, Kubernetes, and CI/CD pipelines. After that, you'll get into microservices, AWS Lambda, gRPC, and message brokers like Kafka and RabbitMQ.This book is a practical guide for you, not an exhaustive mastery manual. It'll give you the skills you need to get the job done, with all the knowledge you can use straight away. You won't get lost in the details, but the theory will be there when you need it. If you want to build, deploy, and operate Python backends with confidence, this is the place to start.Key LearningsBuild typed, self-documenting REST APIs with FastAPI, Pydantic, and modern Python type hints.Structure growing services with routers, dependency injection, settings, and lifespan-managed resources.Model data in PostgreSQL and MongoDB using SQLAlchemy 2.0 and PyMongo async.Write concurrent backends with asyncio, TaskGroup, timeouts, and async database access.Secure applications using PyJWT, OAuth2, role-based access control, and two-factor authentication.Containerize and deploy services with Docker, Kubernetes, Nginx, and HTTPS.Automate testing and delivery through pytest and GitHub Actions pipelines.Decompose monoliths into microservices communicating over REST and gRPC.Run serverless workloads on AWS Lambda using the Python 3.14 runtime.Process events and background work with Kafka, Celery, and RabbitMQ.Table of ContentFundamentals of Backend DevelopmentGetting Started with FastAPIAdvanced FastAPI DevelopmentFlask EssentialsWorking with DatabasesAsynchronous Programming in PythonUser Management and SecurityDeploying Python Backend ApplicationsMicroservices and Cloud IntegrationMessage Brokers and Asynchronous Task Processing This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: Gitforgits, 2026

    9349174472 / 9789349174474

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 99,64

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - All your apps are running on backend systems, and Python gives you one of the best stacks out there for building them.This edition has been fully revised for Python 3.14, and it puts FastAPI at the centre, with a single real project (a University API) growing across every chapter. It'll be great to use Pydantic to design typed endpoints, work with PostgreSQL and MongoDB through modern async drivers, write concurrent code with structured concurrency, secure your services with PyJWT and OAuth2, and ship everything through Docker, Kubernetes, and CI/CD pipelines. After that, you'll get into microservices, AWS Lambda, gRPC, and message brokers like Kafka and RabbitMQ.This book is a practical guide for you, not an exhaustive mastery manual. It'll give you the skills you need to get the job done, with all the knowledge you can use straight away. You won't get lost in the details, but the theory will be there when you need it. If you want to build, deploy, and operate Python backends with confidence, this is the place to start.Key LearningsBuild typed, self-documenting REST APIs with FastAPI, Pydantic, and modern Python type hints.Structure growing services with routers, dependency injection, settings, and lifespan-managed resources.Model data in PostgreSQL and MongoDB using SQLAlchemy 2.0 and PyMongo async.Write concurrent backends with asyncio, TaskGroup, timeouts, and async database access.Secure applications using PyJWT, OAuth2, role-based access control, and two-factor authentication.Containerize and deploy services with Docker, Kubernetes, Nginx, and HTTPS.Automate testing and delivery through pytest and GitHub Actions pipelines.Decompose monoliths into microservices communicating over REST and gRPC.Run serverless workloads on AWS Lambda using the Python 3.14 runtime.Process events and background work with Kafka, Celery, and RabbitMQ.Table of ContentFundamentals of Backend DevelopmentGetting Started with FastAPIAdvanced FastAPI DevelopmentFlask EssentialsWorking with DatabasesAsynchronous Programming in PythonUser Management and SecurityDeploying Python Backend ApplicationsMicroservices and Cloud IntegrationMessage Brokers and Asynchronous Task Processing.

  • Idioma: Inglés

    Editorial: GitforGits, 2026

    9349174472 / 9789349174474

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 62,70

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    Taschenbuch. Condición: Neu. Practical Python Backend Programming, Second Edition | Hands-on backend development with FastAPI, MongoDB, Docker, Kubernetes, and message brokers using Python 3.14 | Tim Peters | Taschenbuch | Englisch | 2026 | GitforGits | EAN 9789349174474 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.