- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
Level up your Python development by exploring advanced OOP concepts in this updated edition covering the latest design patterns, OOP techniques, and real-world projects tailored for Python 3.11 and beyond
Key Features
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
Book DescriptionPython 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.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
Who this book is forIf 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.
Contents
Table of Contents
Object-Oriented Design
Objects in Python
When Objects Are Alike
Expecting the Unexpected
When to Use Object-Oriented Programming
Abstract Base Classes and Operator Overloading
Python Data Structures
The Intersection of Object-Oriented and Functional Programming
Strings, Serialization, and File Paths
The Iterator Pattern
Common Design Patterns
Advanced Design Patterns
Testing Object-Oriented Programs
Concurrency
