Object-oriented programming—combined with Python's flexibility and power and accompanied by improvements in design, coding, and software maintenance—makes difficult tasks much more manageable. This course offers deep insights into object-oriented programming (OOP) to help you develop expert-level, object-oriented Python skills.

Starting with a detailed analysis of object-oriented analysis and design, you will quickly master classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions. We show you how to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create persistent objects and transmit objects between processes. We iterate over collections, using properties and class methods; explore closures and mix-ins; and command-line arguments.

By the end of this course, you will find that programming in OOP clears the mind and makes your code reusable, readable, and extendable as well as easy to maintain.

Beginning by looking at a range of design patterns for the _init_() method, you will learn how to effectively use a range of Python's special methods to create classes that integrate with Python's built-in features, and find detailed explorations and demonstrations of callables and contexts, containers and collections, numbers and decorators, and mixins, with a focus on best practices for effective and successful design. The video also features information that demonstrates how to create persistent objects using JSON, YAML, Pickle, CSV, XML, Shelve, and SQL and shows you how to transmit objects between processes. Going further into OOP, you'll find expert information on logging, warnings, unit testing, and working with the command line.