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Python 3 Object Oriented Programming
Python 3 Object Oriented Programming

Python 3 Object Oriented Programming: If you feel it’s time you learned object-oriented programming techniques, this is the perfect book for you. Clearly written with practical exercises, it’s the painless way to learn how to harness the power of OOP in Python.

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Python 3 Object Oriented Programming

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Key benefits

  • Learn how to do Object Oriented Programming in Python using this step-by-step tutorial
  • Design public interfaces using abstraction, encapsulation, and information hiding
  • Turn your designs into working software by studying the Python syntax
  • Raise, handle, define, and manipulate exceptions using special error objects
  • Implement Object Oriented Programming in Python using practical examples

Description

Object Oriented Programming is a very important aspect of modern programming languages. The basic principles of Object Oriented Programming are relatively easy to learn. Putting them together into working designs can be challenging.This book makes programming more of a pleasure than a chore using powerful Python 3 object-oriented features of Python 3. It clearly demonstrates the core OOP principles and how to correctly implement OOP in Python. Object Oriented Programming ranks high in importance among the many models Python supports. Yet, many programmers never bother learning the powerful features that make this language object oriented.The book teaches when and how OOP should be correctly applied. It emphasizes not only the simple syntax of OOP in Python, but also how to combine these objects into well-designed software.This book will introduce you to the terminology of the object-oriented paradigm, focusing on object-oriented design with step-by-step examples. It will take you from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, all the way through to cooperative inheritance, one of the most complicated. You will be able to raise, handle, define, and manipulate exceptions.You will be able to integrate the object-oriented and the not-so-object-oriented aspects of Python. You will also be able to create maintainable applications by studying higher level design patterns. 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 to you. You'll understand the joy of unit testing and just how easy they are to create. You'll even study higher level libraries such as database connectors and GUI toolkits and how they apply object-oriented principles.

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, this is the book for you.If you are an object-oriented programmer for other languages, you too will find this book a useful introduction to Python, as it uses terminology you are already familiar with.Python 2 programmers seeking a leg up in the new world of Python 3 will also find the book beneficial, and you need not necessarily know Python 2.

What you will learn

  • Implement objects in Python by creating classes and defining methods
  • Separate different objects into a taxonomy of classes, and describe the properties and behaviors of those objects via the class interface
  • Design public interfaces using abstraction, encapsulation, and information hiding
  • Turn your designs into working software by learning the Python syntax
  • Share implementation using inheritance
  • Add functionality to the existing classes and built-ins using inheritance
  • Share similar code between classes by abstracting it into a parent class
  • Raise, handle, define, and manipulate exceptions using special error objects
  • Understand when to use object-oriented features, and more importantly when not to
  • Learn 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
  • Utilize common Python 3 modules, libraries, and frameworks

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 26, 2010
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781849511261
Category :
Languages :

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Product Details

Publication date : Jul 26, 2010
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781849511261
Category :
Languages :

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Frequently bought together


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Python 3 Object Oriented Programming
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Mastering Object-oriented Python
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Table of Contents

12 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
Python Data Structures Chevron down icon Chevron up icon
Python Object-oriented Shortcuts Chevron down icon Chevron up icon
Python Design Patterns I Chevron down icon Chevron up icon
Python Design Patterns II Chevron down icon Chevron up icon
Files and Strings Chevron down icon Chevron up icon
Testing Object-oriented Programs Chevron down icon Chevron up icon
Common Python 3 Libraries Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(54 Ratings)
5 star 75.9%
4 star 18.5%
3 star 0%
2 star 1.9%
1 star 3.7%
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Top Reviews

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Occ Jun 30, 2013
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am a long time software developer. I wanted to develop a skill in Python. I'm really happy that I selected this book. The case studies developed throughout the book are worth their weight in gold. They supplied the substance which helped me to learn after reading the description. This is a hands on book. Even if you have little or no object oriented experience, you will pick it up by working through the case studies and exercises. The book also provides a wealth of useful information on additional frameworks, packages, and modules which would've undoubtedly taken me a long time to figure out. Thanks for such a gret book.
Amazon Verified review Amazon
Ovata Bell Jan 30, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I ordered this book for my son. He is studying Computer Programming. He told me it is very easy to use and very helpful.
Amazon Verified review Amazon
Christopher Apr 25, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A very good read for beginners to understanding the concepts of object oriented design and programming in python 3.x, only some basic experience in python syntax is necessary to get started. And the examples are very understandable. I first started learning python 10 years ago but found the OOP concepts hard to grasp but after reading this I have found going back and rewriting my old code is much more easier and efficient and I can organise it where it no longer looks like a confusing plate of spaghetti. Highly recommended for those trying to understand the basics of python OOP.
Amazon Verified review Amazon
B. Walter Finn Jan 23, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Learning a whole lot with this book. Gives a lot of practical advice on when and how to use different Python features. There are no screenshots, so I had no issues reading (or sometimes listening) on the Kindle. Starts from explaining the basics of Object Oriented concepts and gives multiple examples on how to implement. Goes into writing exceptions, using data structures appropriately, and writing basic web tools. I was actually surprised that you can build web applications without a big framework like Django. You can essentially roll your own with your knowledge of Python. Explains everything well. Good for anyone with some basic programming experience. My experience is Powershell, Bash, PHP, and a little .NET, so I felt very comfortable with the material. I had read "Python Programming for the Absolute Beginner" before tackling this one. Looking forward to implementing the concepts. This will become a good reference.
Amazon Verified review Amazon
christopher j. parrish Sep 27, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Lots of good information.
Amazon Verified review Amazon
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