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Building Python Microservices with FastAPI

You're reading from   Building Python Microservices with FastAPI Build secure, scalable, and structured Python microservices from design concepts to infrastructure

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803245966
Length 420 pages
Edition 1st Edition
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Sherwin John C. Tragura Sherwin John C. Tragura
Author Profile Icon Sherwin John C. Tragura
Sherwin John C. Tragura
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Application-Related Architectural Concepts for FastAPI microservice development
2. Chapter 1: Setting Up FastAPI for Starters FREE CHAPTER 3. Chapter 2: Exploring the Core Features 4. Chapter 3: Investigating Dependency Injection 5. Chapter 4: Building the Microservice Application 6. Part 2: Data-Centric and Communication-Focused Microservices Concerns and Issues
7. Chapter 5: Connecting to a Relational Database 8. Chapter 6: Using a Non-Relational Database 9. Chapter 7: Securing the REST APIs 10. Chapter 8: Creating Coroutines, Events, and Message-Driven Transactions 11. Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices
12. Chapter 9: Utilizing Other Advanced Features 13. Chapter 10: Solving Numerical, Symbolic, and Graphical Problems 14. Chapter 11: Adding Other Microservice Features 15. Index 16. Other Books You May Enjoy

Creating CRUD transactions using SQLAlchemy

SQLAlchemy is the most popular ORM library and can establish communication between any Python-based application and database platform. It is reliable because it is continuously updated and tested to be efficient, high-performing, and accurate with its SQL reads and writes.

This ORM is a boilerplated interface that aims to create a database-agnostic data layer that can connect to any database engine. But compared to other ORMs, SQLAlchemy is DBA-friendly because it can generate optimized native SQL statements. When it comes to formulating its queries, it only requires Python functions and expressions to pursue the CRUD operations.

Before we start using SQLAlchemy, check whether you have the module installed in your system by using the following command:

pip list 

If SQLAlchemy is not in the list, install it using the pip command:

pip install SQLAlchemy

Currently, the version being used while developing the fitness club management...

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