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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.

4.6

228 Lessons

45h

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LEARNING OBJECTIVES

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

Learning Roadmap

228 Lessons14 Quizzes

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

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

13 Lessons

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

Expecting the Unexpected

15 Lessons

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

When to Use Object-Oriented Programming

14 Lessons

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

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

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

Wrap Up

Build a Python Airline Reservation System

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

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 hints, inheritance, exceptions, properties, abstract base classes, data structures, and functional programming. Next, you’ll learn string manipulation, serialization, file paths, the iterator pattern, and testing OOP programs. The course concludes with a deep dive into concurrency in Python. Completing this course ensures a solid grasp of OOP principles and the ability to design and implement complex applications in Python. This knowledge will lead you to Python development roles and career advancement.

ABOUT THE AUTHOR

Packt

A tech learning platform that provides online courses, eBooks, videos, and other resources to help individuals and organizations stay ahead of emerging and popular technologies.

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