Practical python backend programming par peters tim (21 résultats)
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Practical Python Backend Programming' is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. All sorts of developers, from Python programmers to non-Python progra…mmers, full stack developers, and web developers, will find what they need to know to become experts in backend programming in this entire book.The book covers key topics in backend development, including how to set up stable development environments and how to use virtual environments for better dependency management. The book teaches you to create and launch dynamic web apps by providing an in-depth look at web frameworks such as Flask and FastAPI. It teaches SQLAlchemy for efficient data handling and advanced database integration, and it shows to improve applications with databases like PostgreSQL, MySQL, and MongoDB. Strategies for managing concurrent operations and improving performance are also covered in the book, along with asynchronous programming in Python.This book delves into various authentication methods, secure communication protocols such as HTTPS, and techniques to secure REST APIs. For efficient management of asynchronous tasks and real-time data processing, it also introduces message brokers such as RabbitMQ and Kafka. The book teaches its readers how to containerize apps and manage them on a large scale by integrating technologies like Docker and Kubernetes. It goes on to talk about how to use serverless architectures, how to use modern tools for continuous integration and deployment, and how to deploy apps to cloud platforms like AWS. Englisch.
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Paperback. Etat : 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.
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Paperback. Etat : 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.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Practical Python Backend Programming' is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. All sorts of developers, from Python programmers to non-Python programmer…s, full stack developers, and web developers, will find what they need to know to become experts in backend programming in this entire book.The book covers key topics in backend development, including how to set up stable development environments and how to use virtual environments for better dependency management. The book teaches you to create and launch dynamic web apps by providing an in-depth look at web frameworks such as Flask and FastAPI. It teaches SQLAlchemy for efficient data handling and advanced database integration, and it shows to improve applications with databases like PostgreSQL, MySQL, and MongoDB. Strategies for managing concurrent operations and improving performance are also covered in the book, along with asynchronous programming in Python.This book delves into various authentication methods, secure communication protocols such as HTTPS, and techniques to secure REST APIs. For efficient management of asynchronous tasks and real-time data processing, it also introduces message brokers such as RabbitMQ and Kafka. The book teaches its readers how to containerize apps and manage them on a large scale by integrating technologies like Docker and Kubernetes. It goes on to talk about how to use serverless architectures, how to use modern tools for continuous integration and deployment, and how to deploy apps to cloud platforms like AWS.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 262 pp. Englisch.
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Taschenbuch. Etat : Neu. Practical Python Backend Programming | Build Flask and FastAPI applications, asynchronous programming, containerization and deploy apps on cloud | Tim Peters | Taschenbuch | Englisch | 2024 | GitforGits | EAN 9788119177615 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld…, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Practical Python Backend Programming' is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. All sorts of developers, from Python programmers to non-Python programmers…, full stack developers, and web developers, will find what they need to know to become experts in backend programming in this entire book.The book covers key topics in backend development, including how to set up stable development environments and how to use virtual environments for better dependency management. The book teaches you to create and launch dynamic web apps by providing an in-depth look at web frameworks such as Flask and FastAPI. It teaches SQLAlchemy for efficient data handling and advanced database integration, and it shows to improve applications with databases like PostgreSQL, MySQL, and MongoDB. Strategies for managing concurrent operations and improving performance are also covered in the book, along with asynchronous programming in Python.This book delves into various authentication methods, secure communication protocols such as HTTPS, and techniques to secure REST APIs. For efficient management of asynchronous tasks and real-time data processing, it also introduces message brokers such as RabbitMQ and Kafka. The book teaches its readers how to containerize apps and manage them on a large scale by integrating technologies like Docker and Kubernetes. It goes on to talk about how to use serverless architectures, how to use modern tools for continuous integration and deployment, and how to deploy apps to cloud platforms like AWS.
