Practical Python Backend Programming, Second Edition (Paperback)
Language: English
Published by Gitforgits, 2026
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 67.75
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Add to basketItem description from seller
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.…
Seller Inventory # 9789349174474
- Title
- Practical Python Backend Programming, Second Edition (Paperback)
- Author
- Tim Peters
- Publisher
- Gitforgits
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 9349174472
- ISBN 13
- 9789349174474
- Edition
- 2nd Edition
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 Learnings
- Build 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 Content
- Fundamentals of Backend Development
- Getting Started with FastAPI
- Advanced FastAPI Development
- Flask Essentials
- Working with Databases
- Asynchronous Programming in Python
- User Management and Security
- Deploying Python Backend Applications
- Microservices and Cloud Integration
- Message Brokers and Asynchronous Task Processing
"Synopsis" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
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