Coconote
AI notes
AI voice & video notes
Try for free
🛠️
Understanding Design Patterns in Software Development
Apr 23, 2025
Introduction to Design Patterns
Overview
Design patterns are common solutions to recurring problems in software design.
They provide a template or a "way of thinking" to solve common issues.
Popularized by the "Gang of Four" book which categorized them into three groups: Creational, Structural, and Behavioral.
Purpose of Design Patterns
Facilitate the creation of flexible and reusable code.
Allow code to be open for extension but closed for modification, enhancing maintainability.
Practical Analogy - Cooking Example
Example of a Chef class with a
prepare()
method:
Initially designed to take specific cooking instructions for steak.
Overloading for each steak type (e.g., WellDone, MediumDone, Vegan) can be cumbersome as more types are added.
Better design: Use a single method that takes a general
SteakCookingInstruction
class, allowing inheritance for specific cooking instructions.
Design Patterns Categories
1. Creational Patterns
Focus on object creation mechanisms.
Example: Builder Pattern allows flexible object construction, useful when not all attributes are needed at all times.
2. Structural Patterns
Concerned with the composition of classes and objects.
Example: Flyweight Pattern helps in reducing memory usage by sharing common data among similar objects.
Useful for cases like storing books where many attributes are shared across objects.
3. Behavioral Patterns
Deal with communication and responsibilities among objects.
Examples include:
Strategy Pattern
: Offers a way to define a family of algorithms, encapsulate each one, and make them interchangeable.
Memento Pattern
: Allows capturing and externalizing an object's internal state so that it can be restored later.
Conclusion
Design patterns can accelerate the development process by offering tested and proven development models.
Learning and recognizing patterns takes practice and experience.
Design patterns aid in creating robust, efficient, and maintainable code structures.
📄
Full transcript