Building RESTful Python Web Services: Create web services that are lightweight, maintainable, scalable, and secure using the best tools and techniques designed for Python

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Key benefits

Develop RESTful Web Services using the most popular frameworks in Python

Configure and fine-tune your APIs using the best tools and techniques available

This practical guide will help you to implement complete REST-based APIs from scratch

Description

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.

What you will learn

* Develop complex RESTful APIs from scratch with Python combined with and without data sources

* Choose the most appropriate (micro) framework based on the specific requirements of a RESTful API / web service

* Debug, test, and profile RESTful APIs with each of the frameworks

* Develop a complex RESTful API that interacts with a PostgreSQL database

* Add authentication and permissions to a RESTful API built in each of the frameworks

* Map URL patterns to request handlers and check how the API works

* Profile an existing API and refactor it to take advantage of asynchronous code

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Seacord84 Mar 26, 2017

Very well done book. It had some mistakes here and there, but the material was very well done in my opinion.

Amazon Verified review

Judi Drew Jan 19, 2018

good book as ordered

thinkingserious Nov 11, 2016

I am the reviewer for this book and you can view my bio in the front matter. I have gone through every page in detail and executed all of the sample code in a Mac OS X environment.If your goal is to learn how to create a practical RESTful API in either Django, Flask or Tornado (and how to choose between these three frameworks) quickly and effectively, this is your book. You will learn with real-world examples that you can easily modify to fit within your own project.

K Oct 12, 2018

It's a shame that I got stuck on a piece of code midway through 2nd chapter b/c I'd liked the book up until that point.The book is clearly written. The examples and explanations are pretty straightforward, it's obvious the author knows APIs and DRF well, and the book is easy to follow. I liked that it was organized into framework sections (first few chapters for DJango, next few chapters for Flask, etc).When I got stuck on pg 68 I did my best to try to solve the issue so I could continue but I couldn't. There was no way the explanation matched what was going on w/ working code. I got on GitHub and posted an issue in the book's code repo but, 13 days later, still haven't gotten a response. I found a workaround but there'd been enough quirks up to this point to make me want to ditch the book in favor of another ("REST APIs with Django" by William S. Vincent - I've just written a 5-star review for it).Maybe I had problems b/c I was using different (more current) software versions than the book:Book: DJango 1.10; DRF 3.3.3Current: DJango 2.1.2; DRF 3.8.2The book also uses (and recommends) the virtual environment included w/ Python. They say that if you prefer to use virtualenv, you can. I use Pipenv.Due to how well the explanations are, I want to think that it's simply due to age (book being now 2 yrs old). That said, I cannot recommend that anyone (now in late 2018) purchase this book for learning to build REST python web services.

Pascal Wamugunda Sep 13, 2017

More than half the time you'll be frustrated fixing errors....all manner of them! I have been stuck on page 20 for a week now because one line of code won't run: python manage.py makemigrations games {i can't get django to run inside python 3.6 and i cannot get a solution anywhere!}.I suggest the author takes more time to explain installation and setup for the various OS readers could be using. I have shelved this and now I am looking for another book that will help me get data from web APIs for a data collection exercise that is ahead of me.

Building RESTful Python Web Services: Create web services that are lightweight, maintainable, scalable, and secure using the best tools and techniques designed for Python

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