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Python 3 Object-oriented Programming: Building robust and maintainable software with object oriented design patterns in Python, 2nd Edition
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About the Author
Dusty Phillips is a Canadian software developer and author currently living in Seattle, Washington. He has been active in the open source community for a decade and a half and programming in Python for nearly all of it. He cofounded the popular Puget Sound Programming Python meetup group; drop by and say hi if you're in the area. Python 3 Object Oriented Programming, Packt Publishing, was the first of his books. He has also written Creating Apps In Kivy, O'Reilly, the mobile Python library, and self-published Hacking Happy, a journey to mental wellness for the technically inclined. He was hospitalized for suicidal tendencies shortly after the first edition of this book was published and has been an outspoken proponent for positive mental health ever since.
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Product details
Paperback: 460 pages
Publisher: Packt Publishing; 2 edition (August 20, 2015)
Language: English
ISBN-10: 1784398780
ISBN-13: 978-1784398781
Product Dimensions:
7.5 x 1 x 9.2 inches
Shipping Weight: 2.1 pounds (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
59 customer reviews
Amazon Best Sellers Rank:
#203,139 in Books (See Top 100 in Books)
I was at first uncertain whether investing in a Python OOP book resource would be worth the money given the vast quantity of free resources online. I'm glad I did! I have roughly one year of programming experience (less than that in Python) and this book is very digestible, even for beginners. The book is very straight forward and built around examples which helps in giving perspective to OOP concepts covered throughout the book. If you're new to Python I would definitely recommend this book once you're ready to tackle OOP. Definitely keep it around as a reference once you've finished going through it.
There are a few issues with the code samples provided with the book that will hopefully be sorted out in the next edition, if there will be one. Although I find it a fantastic introduction to object oriented programming concepts in general (very easy to follow and provides well thought out examples along with good principles), I can't get over how the author seems so self-involved. There are constant references to his blue eyes and "penchant for writing" throughout the chapters; reading the page-long foreword will definitely give the reader an idea of this. I didn't want or purchase a personal ad for some blue-eyed guy and his love of writing (self-help programming literature at that!); I bought a book to introduce myself to OOP principles and methods.
I am still in the middle of reading it and I can say that I truly value this book. I bought the Kindle version and was able to download the examples code on my laptop, which helps to overcome Kindle's small size limitations. I already applied some of the tips of this book to my professional work and am looking truly forward to the 2 chapters on Design Patterns in Python.Bruce Eckel wrote a free online book in 1999, but that book is outdated and unfinished.Personally, for the people who like both Python 3 AND programming/thinking in OOP, I can highly recommend this bookBy the Kindle version: It will save you $30 plus no taxes.I use Python for software test automation in my day to day job.
This book is great if you would like to learn more about Python and OOP, which I do. This is great for beginner/intermediate level programmers, but may be slightly lacking if you have a firm grasp on OOP design patterns, although this will definitely help an expert grapple Python for the first time.If you understand the material quickly, feel free to skip the "Case Study" at the end of every chapter. As with any programming book, you will be wasting your time if you don't put it to practice.
I now have read half of the book. It is the first book makes me truly understand what object orientated programming really means.The book is really well written. No trivial things. All the key points are elaborated naturally and are making a lot of sense.
I implemented almost all the author’s example on a Microsoft Visual Studio platform with minimum issues. Some of the examples need some modification for this platform, but nothing major. I found the book easy to read and understand. This is the best Python Object-Oriented book I have found todate.
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.
This is a very good book with a lot of thoughts and efforts put into writing it. It doesn't bore you with all the elementary stuff that you can find in many other books. It gets right into the heart of the subject of each chapter at a reasonable depth so that you feel you have learned something without getting lost. When it deals with a subject, it not only tells you how things work but also why they work that way. It helped me gain a deeper understanding of the language. It also helped me think about how to structure my code. The examples and case studies are very broad in terms of practical coverage and they themselves are good learning materials as well. This is a real book well worth the money, unlike some other books out there which in some cases are simply copy and paste from different sources.
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