Python 3 Object Oriented Programming: Harness the Power of Python 3 Objects Paperback – 30 July 2010

Best book on Object Oriented Python I read till now. There are some areas I'd like to cover more. But the book is a great starter.

This book is freely available on internet

A very good read for beginners to understanding the concepts of object oriented design and programming in python 3.x, only some basic experience in python syntax is necessary to get started. And the examples are very understandable. I first started learning python 10 years ago but found the OOP concepts hard to grasp but after reading this I have found going back and rewriting my old code is much more easier and efficient and I can organise it where it no longer looks like a confusing plate of spaghetti. Highly recommended for those trying to understand the basics of python OOP.

I just finished reading the book cover to cover. It's geared toward the intermediate Python programmer. I would recommend going through an online tutorial and writing some code before trying to tackle this book. I've been doing object oriented programming for nearly two decades and honestly have always felt like I was missing something. Such a big deal is made of Object Oriented programming as compared to Structural programming. This book sums it up well - objects represent a grouping of related data and methods, period. I wasn't missing anything at all. I like this author's style. He's lighthearted and straightforward. As an example, and I'm paraphrasing, "if you don't think you need regular expressions, try writing the above web URL parsing code without it!" The book was actually fun to read, unlike many dry computer programming books. Of course, Python itself is a joy, so that makes it easier. One reviewer was critical of the book because there are a few chapters at the end that have little to do with Object Oriented programming. This is true, but the material was still interesting nonetheless and I appreciated the content.My only critique is that the book had several typos, and one of the source listings was obviously missing a few lines. It seemed to be more of a problem with this book than the average technical book and was annoying, especially the source code listing. I stared at that code for 15 minutes before I found the problem.All in all, the book was fun to read and educational. If you are ready to move beyond mere scripting in Python, do yourself a favor and pick up a copy of this book. Please don't attempt anything like an Abstract Factory Design Pattern in Python before you know how to do it the Pythonic way, as shown in this excellent book.

Un libro muy bueno para introducirse en la orientación a objetos, si a este libro le sumas el de estructuras de datos hacen una combinación perfecta.

If you have studied python basics it can be hard finding how to progress from there. I would recommend this book as a good place to start figuring out how to do some real world programming. It is well written with good examples and covers a lot of ground without being verbose.It will help you fully understand object oreientated programming principles and also touches on things like sqlalchemy for database interaction and cherrypy for web development.

Python is a fairly easy language to pick up, but if you're coming from other OO languages (in particular C++, PHP or Java), and have a pretty strong background with objects, you may find that this book is right at your comfort level.First, there is a nice little intro chapter that should be called 'just enough UML'. The author gives you a most sensible fly by that is useful for those who aren't partial to having to generate CYA documentation in large companies. Use case fundamentals are related to UML class diagrams and then into sequence diagrams (exactly how I've always done things). If you have always thought Rational Rose was a bit of an overkill, but you like taking a marker to an art pad or a white board instead for designing software, you'll like this.Second, you are treated to a brisk walk through of Python, and the author is quick to point out how it differs from other OO environments, gives a nice explanation of the parts where Python philosophy might contradict what you've been taught with the other languages and quickly introduces you to the niceties of Python that you aren't accustomed to.Finally, I found this book answered questions that others didn't. You'll see that the author is almost reading your mind in some places (that is, if again, you've been doing OO for a while with other languages). If you are into design patterns, so much the better.I found this book to be a quick study, without muddying up the water with extraneous detail that isn't necessary. I would not likely recommend this book to someone who is just getting started with software development for the first time ever, but if you are a somewhat experienced hacker who understands OO and values the importance of mixing in just enough design with your coding (before, during and after that is), this book may definitely be for you.