A comprehensive guide to exploring modern Python through data
structures, design patterns, and effective object-oriented techniques
Key Features:
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Build an intuitive understanding of object-oriented design, from
introductory to mature programs
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Learn the ins and outs of Python syntax, libraries, and best practices
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Examine a machine-learning case study at the end of each chapter
Book Description:
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 friendly, comprehensive 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. UML class diagrams are generously used
throughout the text for you to understand class relationships. Beyond
the book's focus on OOP, it features an in-depth look at Python's
exception handling and how functional programming intersects with OOP.
Not one, but two very powerful automated testing systems, unittest and
pytest, are introduced in this book. 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 Learn:
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Implement objects in Python by creating classes and defining methods
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Extend class functionality using inheritance
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Use exceptions to handle unusual situations cleanly
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Understand when to use object-oriented features, and more importantly,
when not to use them
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Discover several widely used design patterns and how they are
implemented in Python
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Uncover the simplicity of unit and integration testing and understand
why they are so important
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Learn to statically type check your dynamic code
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Understand concurrency with asyncio and how it speeds up programs
Who this book is for:
If you are new to object-oriented programming techniques, or if you have
basic Python skills and wish to learn how and when to correctly apply
OOP principles in Python, this is the book for you. Moreover, if you are
an object-oriented programmer coming from other languages or seeking a
leg up in the new world of Python, you will find this book a useful
introduction to Python. Minimal previous experience with Python is
necessary.
