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.
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