Practical Python Backend Programming, Second Edition
Hands-on backend development with FastAPI, MongoDB, Docker, Kubernetes, and message brokers using Python 3.14
It's a practical book. We're going to build something real together, a University API, and we're going to grow it chapter by chapter until it looks like a system you'd be proud to deploy. We'll start with a few endpoints, give it databases, make it concurrent, lock it down with authentication, wrap it in containers, and finally split it into cooperating services that talk over the network.
About
About the Book
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
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- Parallel Python with Dask"Parallel Python with Dask" is not just a book for Python developers or data scientists. It's for anyone who wants to unlock the potential of parallel computing, whether you are a student, researcher, or professional. It also covers advanced topics like fault tolerance and scaling, essential for building robust and scalable parallel applications.
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- 50+ App Features with PythonI'll teach you to craft strong APIs with FastAPI, use Pydantic and SQLAlchemy for data integrity, and apply patterns that avoid repetition. As we go through CRUD operations, advanced pagination, filtering, and bulk data handling, you'll see that each concept builds on what came before. You'll learn to add features and connect them into a smooth whole. You'll find step-by-step instructions for..
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- Parallel Python with Dask"Parallel Python with Dask" is not just a book for Python developers or data scientists. It's for anyone who wants to unlock the potential of parallel computing, whether you are a student, researcher, or professional. It also covers advanced topics like fault tolerance and scaling, essential for building robust and scalable parallel applications.
- 50+ App Features with PythonI'll teach you to craft strong APIs with FastAPI, use Pydantic and SQLAlchemy for data integrity, and apply patterns that avoid repetition. As we go through CRUD operations, advanced pagination, filtering, and bulk data handling, you'll see that each concept builds on what came before. You'll learn to add features and connect them into a smooth whole. You'll find step-by-step instructions for..
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