Comprehensions are simple, but powerful, syntaxes that allow us to transform or filter an iterable object in as little as one line of code. The resultant object can be a perfectly normal list, set, or dictionary, or it can be a generator expression that can be efficiently consumed while keeping just one element in memory at a time.
Python 3 Object-Oriented Programming
By :
Python 3 Object-Oriented Programming
By:
Overview of this book
Object-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. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software.
Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem.
By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.
Table of Contents (15 chapters)
Preface
Free Chapter
Object-Oriented Design
Objects in Python
When Objects Are Alike
Expecting the Unexpected
When to Use Object-Oriented Programming
Python Data Structures
Python Object-Oriented Shortcuts
Strings and Serialization
The Iterator Pattern
Python Design Patterns I
Python Design Patterns II
Testing Object-Oriented Programs
Concurrency
Other Books You May Enjoy
How would like to rate this book
Customer Reviews
