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Key benefits

In-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style

Learn the latest Python syntax and libraries

Explore abstract design patterns and implement them in Python 3.8

Description

Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software. Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you 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, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem. By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.

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 OOP in Python, this is the book for you. If you are an object-oriented programmer for other languages or seeking a leg up in the new world of Python 3.8, you too will find this book a useful introduction to Python. Previous experience with Python 3 is not necessary.

What you will learn

Implement objects in Python by creating classes and defining methods

Grasp common concurrency techniques and pitfalls in Python 3

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

Explore concurrent object-oriented programming

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€59.99

Hands-On Data Structures and Algorithms with Python

€32.99

€34.99

Total € 127.97

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Amazon verified reviews

David Nov 19, 2019

Any developer interested in OOP by Python should read this book before learning other topics by Python; strongly recommended.

Amazon Verified review

Wilfried Feb 06, 2019

Das Buch stellt keine Einführung in Python dar, sondern erwartet vom Leser schon einige Python Programm geschrieben zu haben. Dabei wird das Hauptaugenmerk darauf gelegt, besser verständliche und wartbare Programme zu schreiben durch den Einsatz der Konzepte der Objekt Orientierter Programmierung (OOP).In den ersten Kapiteln, die zunächst keinen Bezug zur Sprache Python haben, werden auch Objekt Orientiertes Analyse und Objekt Orientiertes Design, sowie die a Unified Modeling Language (UML) Sprache nicht ausgelassen.Der Rest des Buches behandelt die Themen immer anhand der Implementierung in Python. Hier werden aber auch die Grenzen des sinnvollen Einsatzes von OOP aufgezeigt und Alternativen erwähnt, wie zum Beispiel im Kapitel 8 die regulären Ausdrücke.Jedes Kapitel enthält viele Programmbeispiele und eine größere Fall Studie, die detailliert besprochen wird.Das Buch ist sehr konsequent und sinnvoll aufgebaut.

Beth Jun 04, 2020

I have been working with Python three for a couple of years now in data analysis, but lacked complete mastery in a software sense. This book is the perfect solution . It has helped me learn what I needed to know grow my career! Solid foundation of object oriented programming that is simple to understand and deploy.

gopi Apr 26, 2023

I tried to learn Python by watching videos on YouTube and looking up information online. However, I found myself feeling lost when it came to understanding functions, for loops, tuples, lists, and other topics. because was unable to connect the dots between everything. This ebook provides a clear summary of each topic related to Python. for eg: if you are reading for loops then you will see a table that outline commonly used variables within for loops, among other helpful information.

Arghyadeep Pradhan Apr 03, 2023

It's a good product

Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8 , Third Edition

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