Python Object-Oriented Programming

★ 4.0 avg 31 votes 7 reviews 79 want to read

About this book

A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniquesKey FeaturesBuild an intuitive understanding of object-oriented design, from introductory to mature programsLearn the ins and outs of Python syntax, libraries, and best practicesExamine a machine-learning case study at the end of each chapterBook DescriptionObject-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. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem.By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.What you will learnImplement objects in Python by creating classes and defining methodsExtend class functionality using inheritanceUse exceptions to handle unusual situations cleanlyUnderst

4.0 ★★★★☆ average of 1 sources · 31 votes

Reader Profile

Enjoyment79Difficulty60Influence0Popularity24Classic5

4.0/5 · 31 readers · 714 pages · ≈ 13 h 13 m · Moderate

How long does it take to read Python Object-Oriented Programming?

About ≈ 13 h 13 m — 714 pages, assuming roughly 250 words per page at 225 words per minute.Typical novel≈ 5 h 56 mPython Object-Oriented Programming~13 h 13 m

How many pages is Python Object-Oriented Programming?

714 pages in its most-read edition.Typical novel320Python Object-Oriented Programming714

Is Python Object-Oriented Programming in the public domain?

No — it is still under copyright.

Who wrote Python Object-Oriented Programming?

Steven F. Lott & Dusty Phillips.