In a way, Django makes it deceptively easy to write a dynamic web application. With a few lines of code, you can have an fully functional application up and running in a short space of time, and complex applications take less time than ever to develop. Inevitably, though, bugs will creep in to the development process, and the professional developer will want to make sure that their application is as bug-free as possible before launching.
The book opens with a simple question: "How do you know when code you have written is working as intended?" The answer, of course, is that you test it. But if you're not a cowboy coder, you'll want to leverage the full power of Django's automated testing framework for best results. In the course of this book, the author develops a full web application, from start to finish, and describes how each section would be tested and debugged.
The author's intended audience for this book is perhaps one that is relatively new to Django. Ideally, the reader will have a functioning installation of Django, will have worked through at least the tutorial, and may well have written a couple of applications. This book would also be excellent for someone migrating to Python from another language, or moving into MVC frameworks for the first time. Crucially, the book doesn't just explain how to test, it also explains when and what to test too, so it serves as an ideal introduction into testing in general. There are many code examples and screenshots, and each line of code is fully explained.
The book kicks off with an examination of doctests and unit tests. Their relative pros and cons are explained in some depth, and the author does a great job in this section of discussing exactly what you should be testing, initially beginning with data models. She then moves on to more advanced unit testing strategies and applications, such as testing views and customisations of the admin area.
One of Python's greatest strengths is its ecosystem, and the following chapters cover some of the other tools you might want to integrate into your project. Django-coverage provides reporting on how much of your code is covered by tests, and Twill is a package that essentially replaces Django's test client to provide enhanced functionality — particularly for working with forms. Both packages have fully explained and in-depth examples to work through. (Code downloads are available at Packt Publishing's web site for the terminally lazy!)
With the testing section of the book complete, the author moves on to the debugging section of the book. Starting with the very basics (setting up Django in debug mode), the book then takes a detailed look at the Django debug page. This is something that I could see being useful for many new users — the debug page contains a wealth of information (and not all of it is always entirely relevant, if not outright misleading), so learning to understand this page is crucial to your success as a Djangonaut.
The book then takes a tour of the excellent django-debug-toolbar, before moving on to what was, for me, the most valuable chapter of the book: "When you don't know even know what to log: Using Debuggers." This chapter introduces the PDB (Python Debugger) library.
Like many others, I suppose, Django was my first introduction to Python. For that reason, my knowledge of the standard library is perhaps not as strong as it could be. For me, learning about the different ways of using the debugger was the highlight of the book, and something that will probably change the way I develop with Django.
The book concludes, of course, by taking the application into a production environment. And in line with the latest advice, that means setting up the site using Apache and mod_wsgi. In keeping with the theme of the book, the most common issues in deployment are identified and resolved.
This book weighs in at over four hundred pages, and its greatest strength is its wide scope. Although the basics of testing in Django are easy to understand, it's another thing entirely to see an entire application built from the ground up with testing at the forefront. As I mentioned before, the focus is as much on developing a testing and debugging strategy as it is on the technical aspects.
From a more technical point of view, the subject matter ranges from beginner to advanced. From writing the most basic doctests to debugging multi-process race conditions, the difficulty level increases incrementally, and no important details are skirted over. The prose is well-written and easy to read throughout.
If I had one gripe about the book, it would be that in places, it goes into a little too much detail. There's a section on using the Django web site (the bug tracker, the mailing list etc.) that I could have done without entirely. Although it might be useful for some users, the site is pretty self-explanatory and doesn't really warrant the attention it gets, in my opinion.
You shouldn't let that put you off though — this really is an excellent exploration of the topic. In addition, Packt Publishing will make a donation to the Django project for every book sold, so in purchasing this book, you'll be indirectly helping the project financially too.
This book is worth a place on any Django developer's bookshelf.