The
concurrent.futures.ThreadPoolExecutor
class provides us:A high-level interface for synchronously executing callables.
A high-level interface for asynchronously executing callables.
A high-level interface for composing HTTP requests.
The
@tornado.concurrent.run_on_executor
decorator allows us to:Run an asynchronous method synchronously on an executor.
Run an asynchronous method on an executor without generating a Future.
Run a synchronous method asynchronously on an executor.
The recommended way to write asynchronous code in Tornado is to use:
Coroutines.
Chained callbacks.
Subroutines.
The
tornado.Testing.AsyncHTTPTestCase
class represents:A test case that starts up a Flask HTTP Server.
A test case that starts up a Tornado HTTP Server.
A test case that doesn't start up any HTTP Server.
If we want to convert the bytes in a JSON response body to a Python dictionary, we can use the following function:
tornado.escape.json_decode
tornado.escape.byte_decode
tornado.escape...
Building RESTful Python Web Services
By :
Building RESTful Python Web Services
By:
Overview of this book
Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This book will show you the best tools you can use to build your own web services.
Learn how to develop RESTful APIs using the popular Python frameworks and all the necessary stacks with Python, Django, Flask, and Tornado, combined with related libraries and tools. We will dive deep into each of these frameworks to build various web services, and will provide use cases and best practices on when to use a particular framework to get the best results.
We will show you everything required to successfully develop RESTful APIs with the four frameworks such as request handling, URL mapping, serialization, validation, authentication, authorization, versioning, ORMs, databases, custom code for models and views, and asynchronous callbacks. At the end of each framework, we will add authentication and security to the RESTful APIs and prepare tests for it.
By the end of the book, you will have a deep understanding of the stacks needed to build RESTful web services.
Table of Contents (18 chapters)
Building RESTful Python Web Services
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Developing RESTful APIs with Django
Working with Class-Based Views and Hyperlinked APIs in Django
Improving and Adding Authentication to an API With Django
Throttling, Filtering, Testing, and Deploying an API with Django
Developing RESTful APIs with Flask
Working with Models, SQLAlchemy, and Hyperlinked APIs in Flask
Improving and Adding Authentication to an API with Flask
Testing and Deploying an API with Flask
Developing RESTful APIs with Tornado
Working with Asynchronous Code, Testing, and Deploying an API with Tornado
Exercise Answers
Customer Reviews