Average Reviews:
(More customer reviews)Spring Python 1.1 is a book for professional programmers who either wish
to venture into a world beyond traditional OOP and tackle problems
differently thanks to Spring Python's IoC & AOP features or simply have
practical issues - such as spreading the application across multiple
nodes - to solve. The book does not merely rephrase the comprehensive
reference documentation available at the project's website and I was
actually very curious on how the author would be laying out the material.
Greg took a very good approach of explaining the basic of IoC first and
building upon it in subsequent chapters although they can all be read
separately. All of the major Spring Python's building blocks are covered
and I can only applaud that despite its Java roots almost no XML is used
- that's a good news for all Python programmers fearing that "Spring"
means a lot of unnecessary XML, the prevailing majority of examples is
in pure Python. Java programmers wishing to leverage their existing
Spring skills won't be disappointed though as there are some chapters
devoted to how one can easily migrate a Spring Java IoC container over
to Spring Python one, there's also a discussion of how to use Spring
Python & Jython which, along with CPython, is also a target Python
implementation Spring Python can run on. But let that not confuse you,
the book is mostly written for Python programmers.
I liked it that the book was focusing on getting things done without
turning aside into discussing vaguely related concepts or nuances, for
instance the chapter on SQL doesn't do any 'quick recaps' of what SQL
and relational databases are as is unfortunately quite common in many
other books. On the other hand, not everyone is familiar with IoC and
AOP and I know that anyone unfamiliar with those concepts - regardless
of their primary programming language of choice - can easily take the
book and get acquainted with them. A superb idea was that most of the
chapters teach you how to write unit tests for the given Spring Python
component you'd want to use in your code, IoC, AOP, security, database
access and so on, that's an often neglected area and I was very happy to
see the author having placed an importance on it. Another good idea was
to create a case-study chapter which combines all the knowledge and
discusses it thoroughly.
All in all, it's a good book written by a practitioner for
practitioners, full of diagrams and examples that by necessity are
simple yet don't feel contrived and it's certainly not something you
need to plough through, it does a very good job of introducing the
reader to Spring Python and showing how to use its pluggable components
to write interesting and useful applications solving real-world
problems. If I were to pick a nit I'd only say that it would be nice if
the second edition contained at least a couple of examples of using
Spring Python's IoC YamlConfig, but that's only a matter of syntax so
the issue is really minor.
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The book is an introduction to Spring Python. It starts with simple practical applications, moving on to more advanced applications with two advanced case studies at the end of the book. It is packed with screenshots, examples, and ready-to-use code making it very suitable for a beginner while also showing tactics and concepts suitable for the most experienced developers. Each chapter starts with a simple problem to solve, and then dives into how Spring Python provides the solution with step-by-step code samples. Along the way, screenshots and diagrams are used to show critical parts of the solution. The case studies start off with a handful of use cases, and then proceed step-by-step to incrementally develop features. Some use cases are left to the reader to implement as an exercise. Key problems discovered along the way are exposed and then solved, giving the reader the chance to solve them, or to read the author's solutions. This book is for Python developers who want to take their applications to the next level, by adding/using parts that scale their application up, without adding unnecessary complexity. It is also helpful for Java developers who want to mix in some Python to speed up their coding effort.
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