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 understood the difference between synchronous and asynchronous execution. We created a new version of the RESTful API that takes advantage of the non-blocking features in Tornado, combined with an asynchronous execution. We improved the scalability of our existing API and made it possible to start executing other requests while waiting for slow I/O operations with sensors and actuators. We avoided splitting our methods into multiple methods with callbacks by using the tornado.gen generator-based interface that Tornado provides, to make it easier to work in an asynchronous environment.

Then, we set up a testing environment. We installed pytest, along with many plugins, to make it easy to discover and execute unit tests. We wrote the first round of unit tests, measured test coverage, and then wrote additional unit tests to improve that test coverage. We created all the necessary tests to have coverage of a nice amount of lines of code.

We built RESTful web services...