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Python Object-Oriented Programming
Python Object-Oriented Programming

Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries , Fourth Edition

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Profile Icon Steven F. Lott Profile Icon Dusty Phillips
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$57.59 $63.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9 (35 Ratings)
eBook Jul 2021 714 pages 4th Edition
eBook
$57.59 $63.99
Paperback
$79.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Steven F. Lott Profile Icon Dusty Phillips
Arrow right icon
$57.59 $63.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9 (35 Ratings)
eBook Jul 2021 714 pages 4th Edition
eBook
$57.59 $63.99
Paperback
$79.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$57.59 $63.99
Paperback
$79.99
Subscription
Free Trial
Renews at $19.99p/m

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Python Object-Oriented Programming

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Key benefits

  • Build an intuitive understanding of object-oriented design, from introductory to mature programs
  • Learn the ins and outs of Python syntax, libraries, and best practices
  • Examine a machine-learning case study at the end of each chapter

Description

Python Object-Oriented Programming, Fourth Edition is a practical guide to advancing your OOP skills with modern Python. Going beyond the fundamentals, it helps you work with Python as an OOP language, explore both common and advanced design patterns, and apply these concepts to data manipulation and testing of complex OOP systems. Each chapter features newly written open-ended exercises as well as a real-world case study, aligned with the improvements in Python 3.11—bringing faster execution and memory efficiency to your applications. Authors Steven F. Lott and Dusty Phillips provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, showing how they integrate with Python’s classes and data structures to facilitate good design. The book also introduces two powerful automated testing systems, unittest and pytest, and explores Python's concurrent programming ecosystem in depth. By the end of the book, you’ll have a thorough understanding of how to think about and apply object-oriented principles using Python syntax to create robust and reliable programs.

Who is this book for?

If you are new to object-oriented programming or if you have basic Python skills and want to learn how and when to correctly apply OOP principles in Python 3.11 and beyond, this is the book for you. Mid-level Python developers, software engineers, and data scientists will benefit from its practical guidance. Complete with a solid introduction to Python, this book proves to be a useful resource for experienced object-oriented programmers transitioning from other languages or seeking a leg up in the new world of Python. Minimal previous experience with Python programming is necessary.

What you will learn

  • Implement objects in Python by creating classes and defining methods
  • Extend class functionality using inheritance
  • Use exceptions to handle unusual situations cleanly
  • Understand when to use object-oriented features, and more importantly, when not to use them
  • Discover several widely used design patterns and how they are implemented in Python
  • Uncover the simplicity of unit and integration testing and understand why they are so important
  • Learn to statically type check your dynamic code
  • Understand concurrency with asyncio and how it speeds up programs

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 02, 2021
Length: 714 pages
Edition : 4th
Language : English
ISBN-13 : 9781801075237
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What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
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Product Details

Publication date : Jul 02, 2021
Length: 714 pages
Edition : 4th
Language : English
ISBN-13 : 9781801075237
Category :
Languages :

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Table of Contents

16 Chapters
Object-Oriented Design Chevron down icon Chevron up icon
Objects in Python Chevron down icon Chevron up icon
When Objects Are Alike Chevron down icon Chevron up icon
Expecting the Unexpected Chevron down icon Chevron up icon
When to Use Object-Oriented Programming Chevron down icon Chevron up icon
Abstract Base Classes and Operator Overloading Chevron down icon Chevron up icon
Python Data Structures Chevron down icon Chevron up icon
The Intersection of Object-Oriented and Functional Programming Chevron down icon Chevron up icon
Strings, Serialization, and File Paths Chevron down icon Chevron up icon
The Iterator Pattern Chevron down icon Chevron up icon
Common Design Patterns Chevron down icon Chevron up icon
Advanced Design Patterns Chevron down icon Chevron up icon
Testing Object-Oriented Programs Chevron down icon Chevron up icon
Concurrency Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9
(35 Ratings)
5 star 48.6%
4 star 11.4%
3 star 25.7%
2 star 14.3%
1 star 0%
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Top Reviews

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N/A Feb 16, 2026
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I appreciate that you offer very important topic which is OOP in Python programming. This topic is really very important nowadays beacuse OOP in Python is used in many different types of programms. I will study the course in the future because I need to study basics of PYTHON programming first. Thank you for your OOP video course. Ivan from Bratislava Slovakia
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Matthew Oct 05, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Dear Packt,I have found an awesome content inside the book. But the quality of the binding I received from the publisher is unacceptable. Its not the first time, i encountered the issue.Pl don’t spoil the journey of reading awesome content just because of your poor quality of presentation.BR,Matthew
Amazon Verified review Amazon
Tharnid Jul 28, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
About this book:This is a detailed explanation of the Object-Oriented Programming (OOP) using the Python programming language but the concepts translate to other programming languages as well (C#, Java, etc)Who the book is for:This is not a beginner's book on OOP and the reader will need some solid understanding of the OOP concepts (abstraction, classes, encapsulation, inheritance, objects, polymorphism, etc). The concepts in this book transcend Python so it would a great reference for any OOP programmer. There is even a chapter on when to use OOP. It also has a chapter dedicated to where Functional and OOP cross paths in Python which was very interesting as well.ConclusionI enjoyed the depth provided in this book and refreshed my knowledge of OOP. Solid book on OOP. Do yourself a favor and purchase this book for reference at the minimum. Your career will thank you
Amazon Verified review Amazon
Carlos Cardona May 04, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Despite its unfortunate initialism, POOP is money well spent. If you already have some experience with python, this book will take you to a next level in Python programming, and teach you along the way some good practices, how to improve readability and some common useful design patterns. Thumbs up!
Amazon Verified review Amazon
Amazon Customer Jul 26, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Before I reviewed this book, I was only vaguely aware of the fact that Python had objects - my only experience with object-oriented programming had been in Java and C++. So once I dug into the book, I was surprised to see the depth that Python offers in this domain!The book explains object-oriented design starting from its core concepts, so you don't need any prior background in a language like Java or C++ (though it can help). Furthermore, it shows how these ideas apply to Python, and will help you build your existing Python skillset further. It takes some time to go over the basic data structures of Python while also getting into the complexities of objects in the language. All of this content is supplemented with plenty of Python code examples, which will only help to reinforce what you read in each chapter.This book helped reinforce my understanding of Python, helping me become more familiar with the various features and syntax in the language that I may not have seen before. Additionally, it helped show me how to implement object-oriented design in a different language, which aided my overall comprehension of that programming paradigm. If you have basic experience in Python and wish to explore a different programming paradigm in the language, then this book will be the perfect fit to help you push in the direction of object-oriented programming!
Amazon Verified review Amazon
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