Building Robust Object-Oriented Python Applications and Libraries

Gain insights into object-oriented programming with Python. Delve into classes, inheritance, and concurrency. Discover how to build robust applications and advance your Python development career.

Beginner

228 Lessons

45h

Certificate of Completion

Gain insights into object-oriented programming with Python. Delve into classes, inheritance, and concurrency. Discover how to build robust applications and advance your Python development career.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

297 Playgrounds

14 Quizzes

This course includes

297 Playgrounds

14 Quizzes

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 hint...Show More

What You'll Learn

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

What You'll Learn

Proficiency in object-oriented design principles and Python syntax

Course Content

Object-Oriented Design

Get familiar with essentials of object-oriented design, UML, encapsulation, inheritance, and composition.

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

Grasp the fundamentals of Python objects, type hints, classes, modules, and package organization.

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

Examine advanced inheritance, polymorphism, and design principles in object-oriented Python.

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

Grasp the fundamentals of managing exceptions in Python to enhance application robustness.

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

Take a look at mastering object-oriented programming, using properties, manager objects, and maintaining the DRY principle.

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

Investigate abstract base classes (ABCs), operator overloading, duck typing, and metaclasses in Python.

Python Data Structures

19 Lessons

Master key Python data structures, including tuples, defaultdicts, and frozen dataclasses, for efficient, maintainable code design.

Object-Oriented and Functional Programming Intersection

19 Lessons

Combine object-oriented and functional programming principles in Python for versatile, efficient coding.

Strings, Serialization, and File Paths

23 Lessons

Look at string manipulation, encoding, regex, file paths, and serialization techniques in Python.

10.

The Iterator Pattern

16 Lessons

Master the steps to effectively use iterators, comprehensions, and generators for efficient data handling.

11.

Common Design Patterns

13 Lessons

Grasp the fundamentals of common design patterns for effective and maintainable Python applications.

12.

Advanced Design Patterns

14 Lessons

Deepen your knowledge of advanced design patterns, enhancing design efficiency and adaptability.

13.

Testing Object-Oriented Programs

11 Lessons

Focus on automated testing, using unittest and pytest for reliable Python code quality.

14.

Concurrency

18 Lessons

Piece together the parts of Python concurrency, covering threads, multiprocessing, AsyncIO, and practical case studies.

15.

Conclusion

1 Lesson

Learn how to use Python's OOP concepts, design patterns, and testing strategies efficiently.

Build a Python Airline Reservation System

Project

Course Author

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Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

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Carlos Matias La Borde

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Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

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DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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