Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

Arrow left icon
Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
Arrow right icon
View More author details
Toc

Table of Contents (25) Chapters Close

Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1. Preliminaries, Tools, and Techniques FREE CHAPTER 2. The __init__() Method 3. Integrating Seamlessly - Basic Special Methods 4. Attribute Access, Properties, and Descriptors 5. The ABCs of Consistent Design 6. Using Callables and Contexts 7. Creating Containers and Collections 8. Creating Numbers 9. Decorators and Mixins - Cross-Cutting Aspects 10. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 11. Storing and Retrieving Objects via Shelve 12. Storing and Retrieving Objects via SQLite 13. Transmitting and Sharing Objects 14. Configuration Files and Persistence 15. Design Principles and Patterns 16. The Logging and Warning Modules 17. Designing for Testability 18. Coping with the Command Line 19. Module and Package Design 20. Quality and Documentation

Implementing REST with a web application framework

A RESTful web server is a web application. This means we can leverage any of the popular Python web application frameworks. The complexity of creating RESTful services is low. The preceding examples illustrate how simple it is to map the CRUD rules to HTTP Methods.

Some of the Python web frameworks include one or more REST components. In some cases, the RESTful features are almost entirely built-in. In other cases, an add-on project can help define RESTful web services with minimal programming. For example, https://flask-restful.readthedocs.io/en/latest/ is a REST framework that can be used as a Flask extension.

Searching PyPI (https://pypi.python.org) for REST will turn up a large number of packages. There are numerous solutions that are already available. Most of these will offer some levels of simplification for common...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime
Banner background image