Behavioral Pattern Mastery

📋 Course Outline

1. State & State Transitions
2. Strategy & Algorithm Variability
3. Visitor & Operation Encapsulation
4. Observer & Dependency Management
5. Mediator & Object Coordination
6. Memento & State Saving
7. Chain of Responsibility & Request Passing
8. Template Method & Algorithm Skeleton
9. Interpreter & Language Representation

📖 1. State & State Transitions

🔑 Key Concepts & Definitions

• State: Represents a particular condition or mode of an object, encapsulating its current data and behavior. It defines how an object responds to requests in a specific situation.

• State Transition: The process of changing an object's state from one to another based on events or conditions, often resulting in different behavior.

• Finite State Machine (FSM): A mathematical model of computation consisting of a finite number of states, transitions between these states, and actions, used to model the behavior of systems.

• State Pattern: A behavioral design pattern that allows an object to alter its behavior when its internal state changes, encapsulating state-specific behavior into separate classes.

• Transition Trigger: An event or condition that causes the system to move from one state to another.

📝 Essential Points

• Encapsulation of State: The State pattern encapsulates state-specific behaviors into separate classes, promoting cleaner code and easier maintenance.