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Mastering Object-Oriented Python
Mastering Object-Oriented Python

Mastering Object-Oriented Python: Build powerful applications with reusable code using OOP design patterns and Python 3.7 , Second Edition

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Mastering Object-Oriented Python

Section 1: Tighter Integration Via Special Methods

We'll extend the core object-oriented programming techniques to allow for increased integration of the classes we create with other features of Python.

The following chapters will be covered in this section:

  • Chapter 1, Preliminaries, Tools, and Techniques
  • Chapter 2, The __init__() Method
  • Chapter 3, Integrating Seamlessly – Basic Special Methods
  • Chapter 4, Attribute Access, Properties, and Descriptors
  • Chapter 5, The ABCs of Consistent Design
  • Chapter 6, Using Callables and Contexts
  • Chapter 7, Creating Containers and Collections
  • Chapter 8, Creating Numbers
  • Chapter 9, Decorators and Mixins – Cross-Cutting Aspects
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Key benefits

  • Extend core OOP techniques to increase integration of classes created with Python
  • Explore a variety of Python libraries for handling persistence and object serialization
  • Learn alternative approaches for solving programming problems with different attributes to address your problem domain

Description

Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs. By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python.

Who is this book for?

This book is for developers who want to use Python to create efficient programs. A good understanding of Python programming is required to make the most out of this book. Knowledge of concepts related to object-oriented design patterns will also be useful.

What you will learn

  • Explore a variety of different design patterns for the __init__() method
  • Learn to use Flask to build a RESTful web service
  • Discover SOLID design patterns and principles
  • Use the features of Python 3 s abstract base
  • Create classes for your own applications
  • Design testable code using pytest and fixtures
  • Understand how to design context managers that leverage the with statement
  • Create a new type of collection using standard library and design techniques
  • Develop new number types above and beyond the built-in classes of numbers
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 14, 2019
Length: 770 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789531367
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Estimated delivery fee Deliver to Slovakia

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Product Details

Publication date : Jun 14, 2019
Length: 770 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789531367
Category :
Languages :
Tools :

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Table of Contents

24 Chapters
Section 1: Tighter Integration Via Special Methods Chevron down icon Chevron up icon
Preliminaries, Tools, and Techniques Chevron down icon Chevron up icon
The __init__() Method Chevron down icon Chevron up icon
Integrating Seamlessly - Basic Special Methods Chevron down icon Chevron up icon
Attribute Access, Properties, and Descriptors Chevron down icon Chevron up icon
The ABCs of Consistent Design Chevron down icon Chevron up icon
Using Callables and Contexts Chevron down icon Chevron up icon
Creating Containers and Collections Chevron down icon Chevron up icon
Creating Numbers Chevron down icon Chevron up icon
Decorators and Mixins - Cross-Cutting Aspects Chevron down icon Chevron up icon
Section 2: Object Serialization and Persistence Chevron down icon Chevron up icon
Serializing and Saving - JSON, YAML, Pickle, CSV, and XML Chevron down icon Chevron up icon
Storing and Retrieving Objects via Shelve Chevron down icon Chevron up icon
Storing and Retrieving Objects via SQLite Chevron down icon Chevron up icon
Transmitting and Sharing Objects Chevron down icon Chevron up icon
Configuration Files and Persistence Chevron down icon Chevron up icon
Section 3: Object-Oriented Testing and Debugging Chevron down icon Chevron up icon
Design Principles and Patterns Chevron down icon Chevron up icon
The Logging and Warning Modules Chevron down icon Chevron up icon
Designing for Testability Chevron down icon Chevron up icon
Coping with the Command Line Chevron down icon Chevron up icon
Module and Package Design Chevron down icon Chevron up icon
Quality and Documentation Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8
(4 Ratings)
5 star 50%
4 star 0%
3 star 25%
2 star 25%
1 star 0%
Daniel J. Snipes Aug 17, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I found this book to be insightful and easy to read. Steven Lott certainly has the rare talent of combing technical rigor with a certain level of playful eloquence. This is a great introduction to object oriented programming (OOP) paradigm in Python 3. This is both a useful introductory text for software engineers as well as a reference text for a more seasoned professional.
Amazon Verified review Amazon
Cesar Trejo Mar 05, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Muy buen producto 👍
Amazon Verified review Amazon
Amazon Customer Feb 27, 2023
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Pretty good text but code needs to formatted better. Most code has wraparound that makes it hard to read. Page 525 has serious formatting problem on code. However, because of the age of this edition, few are going to buy it now anyway.
Amazon Verified review Amazon
Prooffreader Feb 09, 2020
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
I get that it's useful to have an example class used throughout the book. But I think the blackjack-playing class was a little to obscure, it's not really a use case that a real programmer will come across (and gambling and games of gambling are of particularly little interest to me), and having the unicode symbols all over the place for the different suits (♠ ♥ ♣ ♦) instead of text is visually very distracting. I would have rathered follow along with a "real" program, even if its particular use case wasn't one I commonly use. A lot of references are made to the previous Python OOP book written by the author, so I bought it also even though only about 15% of it was new information to me. Despite these caveats, the author knows her stuff very well. Final note: this is a huge tome, extremely thick and difficuly to maneuver and weighs a ton.
Amazon Verified review Amazon
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