Python 3 Object-Oriented Programming - Second Edition: Building robust and maintainable software with object oriented design patterns in Python

Dusty Phillips

€41.99

3.9 (36 Ratings)

Paperback Aug 2015 460 pages 1st Edition

Dusty Phillips

€41.99

3.9 (36 Ratings)

Paperback Aug 2015 460 pages 1st Edition

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Key benefits

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

Description

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.

Who is this book for?

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

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What do you get with Print?

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Amazon verified reviews

D. Thomson May 29, 2017

Certainly one of the better python books out there. Especially so if you are someone wishing to break out from writing only basic scripts.

Amazon Verified review

cosmos May 15, 2016

Thanks!

Santhosh Apr 26, 2018

Good book for Object oriented python

Ralf Korff Nov 22, 2015

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.

Ecki Dec 13, 2021

Das Buch ist für Leser mit Basiskenntnissen in Python geeignet.

Python 3 Object-Oriented Programming - Second Edition: Building robust and maintainable software with object oriented design patterns in Python

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