Book Image

Hands-On RESTful Python Web Services - Second Edition

By : Gaston C. Hillar
1 (1)
Book Image

Hands-On RESTful Python Web Services - Second Edition

1 (1)
By: Gaston C. Hillar

Overview of this book

Python is the language of choice for millions of developers worldwide that builds great web services in RESTful architecture. This second edition of Hands-On RESTful Python Web Services will cover the best tools you can use to build engaging web services. This book shows you how to develop RESTful APIs using the most popular Python frameworks and all the necessary stacks with Python, combined with related libraries and tools. You’ll learn to incorporate all new features of Python 3.7, Flask 1.0.2, Django 2.1, Tornado 5.1, and also a new framework, Pyramid. As you advance through the chapters, you will get to grips with each of these frameworks to build various web services, and be shown use cases and best practices covering when to use a particular framework. You’ll then successfully develop RESTful APIs with all frameworks and understand how each framework processes HTTP requests and routes URLs. You’ll also discover best practices for validation, serialization, and deserialization. In the concluding chapters, you will take advantage of specific features available in certain frameworks such as integrated ORMs, built-in authorization and authentication, and work with asynchronous code. At the end of each framework, you will write tests for RESTful APIs and improve code coverage. By the end of the book, you will have gained a deep understanding of the stacks needed to build RESTful web services.
Table of Contents (19 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Index

Summary


In this chapter, we expanded the capabilities of the previous version of the RESTful API we created in the preceding chapter. We used SQLAlchemy as our ORM to work with a PostgreSQL 10.5 database. We added many packages to simplify many common tasks, we wrote code for the models and their relationships, and we worked with schemas to validate, serialize, and deserialize these models.

We combined blueprints with resourceful routing, and we were able to generate the database from the models. We composed and sent many HTTP requests to our RESTful API and analyzed how each HTTP request was processed in our code and how the models persisted in the database tables.

Now that we have built a complex API with Flask, Flask-RESTful, and SQLAlchemy, we will utilize additional features; we will add security and authentication, which are the topics of the next chapter.