Mastering Design Patterns with Python

Overview

In this course path, you'll explore key design patterns like Creational, Structural, and Behavioral. Through practical examples and hands-on coding, you'll strengthen your Python skills, build scalable systems, and learn how to apply design patterns to solve real-world problems effectively.

Syllabus

Course 1: Revisiting OOP Concepts in Python
Course 2: Creational Patterns in Python
Course 3: Structural Patterns in Python
Course 4: Behavioral Patterns in Python
Course 5: Applying Design Patterns for a Smart Home System in Python

Courses

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3 hours
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Essential OOP concepts in Python, including classes, objects, inheritance, polymorphism, and encapsulation, form the cornerstone of object-oriented design and programming. Mastering these concepts is crucial for understanding and effectively utilizing design patterns.
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3 hours
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Creational design patterns are essential for managing object creation mechanisms, which promote flexibility, code reuse, and robustness. This course covers widely used creational patterns like Singleton, Factory Method, Abstract Factory, and Builder, demonstrating their applications in solving real-world programming challenges.
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3 hours
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Structural design patterns manage object composition and relationships, improving flexibility and scalability of systems. This course covers key structural patterns like Adapter, Composite, and Decorator, demonstrating their application in GUI libraries, file systems, and more, to solve real-world problems.
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2 hours
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Behavioral design patterns focus on object communication and responsibility distribution, enabling sophisticated interactions and promoting system maintainability. This course covers essential patterns like Command, Observer, and Strategy, demonstrating their practical applications in real-world scenarios such as chat applications, parking systems, and smart home automation.
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2 hours
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This course applies various design patterns to develop a smart home system in Python, showcasing the practical use of the patterns covered in the course path to solve real-world problems.