INTERACTIVE COURSE

Building Robust Object-Oriented Python Applications and Libraries

Beginner

228 Lessons

45h

Certificate of Completion

AI Explanations

297 Playgrounds

14 Quizzes

127 Illustrations

Takeaway Skills

Proficiency in object-oriented design principles and Python syntax

Understanding of advanced Python concepts like concurrency, exceptions, and operator overloading

Hands-on experience in creating complex programs using Python's built-in data structures

Working knowledge of Python's support for functional programming

Mastery of Python's standard library for string manipulation, file paths, and serialization

Course Overview

This course explores object-oriented programming (OOP) with Python, using "objects" to design and build applications. By taking this course, learners will discover Python's power, clean syntax, and robust libraries for OOP-based software development. You’ll start with an introduction to object-oriented design, exploring objects, classes, and the attributes and behaviors that define them. You’ll learn the basic concepts and advanced design patterns using Python’s OOP capabilities. You’ll learn about type hi...Show More

Course Content

Object-Oriented Design

Getting Started

Introducing Object-Oriented Paradigm Objects and Classes Attributes and Behaviors Hiding Details and Creating the Public Interface Composition and Aggregation Inheritance Case Study Context View Logical View Process View Development View Physical View Challenge: Design an Order Processing System Solution: Design an Order Processing System Quiz: Object-Oriented Design Summary

Objects in Python

Type Hints Type Checking Creating Python Classes Initializing the Object Type Hints and Defaults Modules and Packages Organizing Modules Organizing Code in Modules Who Can Access My Data?Case Study Samples and Their States Sample State Transitions Class Responsibilities The TrainingData Class Challenge: Build a To-Do Application Solution: Build a To-Do Application Quiz: Objects in Python Summary

When Objects Are Alike

Basics of Inheritance Extending Built-in Functions Overriding and Super Functions Multiple Inheritance The Diamond Problem Different Sets of Arguments Polymorphism Case Study Logical View Challenge: Build a Testing System Solution: Build a Testing System Quiz: When Objects Are Alike Summary

Expecting the Unexpected

Exceptions Raising an Exception The Effects of an Exception Handling Exceptions The Exception Hierarchy Defining Our Own Exceptions Exceptions Aren’t Exceptional Case Study Context and Processing View Bad Data and Bad Behavior Creating Samples From CSV Files Validating Enumerated Values Reading CSV Files Quiz: Expecting the Unexpected Summary

When to Use Object-Oriented Programming

Treat Objects as Objects Adding Behaviors to Class Data With Properties Properties in Detail Decorators – Another Way to Create Properties Deciding When to Use Properties Manager Objects Removing Duplicate Code Case Study The Sample Class Hierarchy The Purpose Enumeration Challenge: Build a Banking System Solution: Build a Banking System Quiz: When to Use Object-Oriented Programming Summary

Abstract Base Classes and Operator Overloading

17 Lessons

Python Data Structures

19 Lessons

Object-Oriented and Functional Programming Intersection

19 Lessons

Strings, Serialization, and File Paths

23 Lessons

The Iterator Pattern

16 Lessons

Common Design Patterns

13 Lessons

Advanced Design Patterns

14 Lessons

Testing Object-Oriented Programs

11 Lessons

Concurrency

18 Lessons

Conclusion

1 Lesson

COURSE AUTHOR

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