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Python 3 Object-Oriented Programming - Second Edition, by Dusty Phillips
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Unleash the power of Python 3 objects
About This Book- Stop writing scripts and start architecting programs
- Learn the latest Python syntax and libraries
- A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python 3
If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply object-oriented programming in Python to design software, this is the book for you.
What You Will Learn- Implement objects in Python by creating classes and defining methods
- Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface
- Extend class functionality using inheritance
- Understand when to use object-oriented features, and more importantly when not to use them
- Discover what design patterns are and why they are different in Python
- Uncover the simplicity of unit testing and why it's so important in Python
- Grasp common concurrency techniques and pitfalls in Python 3
- Exploit object-oriented programming in key Python technologies such as Kivy and Django.
- Object-oriented programming concurrently with asyncio
Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax.
Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception.
Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.
You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program.
You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy.
This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published.
Style and approachThroughout the book you will learn key object-oriented programming techniques demonstrated by comprehensive case studies in the context of a larger project.
- Sales Rank: #150983 in Books
- Published on: 2015-08-20
- Released on: 2015-08-20
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 1.04" w x 7.50" l, 1.73 pounds
- Binding: Paperback
- 460 pages
About the Author
Dusty Phillips
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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Must Have for OO Python
By Sampath Ganji
Must have book for Python Programmers. I am a full time Sys Admin and one of my colleague recommended this book after I spent considerable time skimming through other python books. You do not have to be a programmer to excel in Python. Books like this would take you to the next level with ease. Starts off with Object Oriented Design and deep dives into OO capabilities of Python. Overall a nice book aptly paced for a beginner to intermediary.
7 of 9 people found the following review helpful.
Sheer Python 3 bliss awaits you
By adnan baloch
The title page of the book greets the reader with a photo of idyllic scenery with a mountain in the background. This is not just a photo. This is the place where the readers will find themselves in their minds' eyes once they are done with the book. The book's source code consists of over 200 python source files that are guaranteed to delight beginners and intermediate Python users alike. Happily, the files can be downloaded from the publisher's website for free so go ahead and witness that treasure trove for yourself. The paperback edition of this book is a must have for anyone interested in getting to grips with the object oriented features of Python 3. This second edition has the good fortune of incorporating several years of reader feedback that combines with the author's mature and seasoned grasp of the subject matter to deliver content that is highly relevant to the practical application of Python's power in solving real world computing problems. Data structures, design patterns and unit testing chapters will help the readers stand out for any serious Python development positions. New to this edition is an entire chapter devoted to concurrency that serves as pure icing on the cake especially when you factor in the fact that the world has increasingly shifted to a many-core computing era. Don't be surprised if this voluminous 460 page book turns you into an excellent Python teacher.
4 of 5 people found the following review helpful.
My favorite Python book
By Ralf Korff
I instantly liked the introduction which is short, informative and personal. For me this can already be half the battle for a buying decision. The table of contents delivered the other half by reminding me that the Gang of Four’s Design Patterns was sitting on my shelf untouched for long. (It has been written in 1994, how time flies!) Dusty’s book seemed to be a fit occasion for having a fresh look at design patterns and see whether Python makes any difference. Furthermore, as the author freely admits in the introduction he has added a chapter about unit testing and one about concurrency which are not directly related to OOP, but which have nevertheless attracted my interest in this book.
About 20% of the book’s pages (after 50% on OOP with Python) are dedicated to design patterns (chapters 9-11). Chapter 9 elaborates on the iterator pattern while the following two chapters cover 6 design patterns each. That’s roughly half of the design patterns described in Gamma et al. but I’m fine with the selection made. Chapters 1 (on OOD), 12 (on unit testing) and 13 (Concurrency) frame the book’s core.
When reading I have had already a pretty good grasp about OOP but I did not know Python. Having said this I cannot judge how comprehensible this book might be for readers without programming experience but it looks for me like a smooth intro into object-oriented programming. Yet the author states “This is a practical book, not a textbook.“. The author is likely hinting at the absence of exercises (though the book contains several short think-about sections which have been titled ‘exercises’). According to my conception, this book is a practical textbook indeed.
Soon after starting reading I got convinced that this book works for me as a great introduction to Python. Whether you are interested in learning Python, refreshing design patterns or whether you are curious where “pythonic OOP thinking” differs, this book is expository in a readable and concise fashion. Clearly, it should not be your first programming book.
I don’t hesitate to give this book 5 stars.
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