Dominik Przybysz
OOP revisited
#1about 3 minutes
Defining object-oriented programming principles
Objects are modeled on real-world items with state and behavior, guided by core principles like encapsulation, SOLID, and GRASP.
#2about 4 minutes
The core principle of encapsulation and information hiding
Encapsulation protects an object's internal state by bundling data and methods into a single unit, but is often broken by public getters and setters.
#3about 5 minutes
Avoiding common pitfalls with getters and setters
Avoid exposing internal state by returning immutable collections, using optionals for nullable values, and carefully managing visibility modifiers.
#4about 4 minutes
Using abstraction and the information expert principle
Abstraction simplifies complexity by delegating responsibility to the object that holds the necessary information, following the "Tell, Don't Ask" rule.
#5about 3 minutes
Applying the Law of Demeter and pure fabrication
The Law of Demeter reduces coupling by limiting object interactions, while pure fabrication creates artificial classes for specific responsibilities.
#6about 4 minutes
Balancing single responsibility, cohesion, and coupling
Effective design involves creating classes with a single reason to change, high internal cohesion, and low external coupling.
#7about 6 minutes
Implementing dependency inversion with hexagonal architecture
The dependency inversion principle decouples modules by depending on abstractions, enabling patterns like hexagonal architecture and avoiding leaky abstractions.
#8about 8 minutes
Understanding inheritance and the Liskov substitution principle
Inheritance creates "is-a" relationships, but subclasses must be substitutable for their base classes without altering program correctness.
#9about 6 minutes
Preferring composition and leveraging polymorphism
Composition offers a more flexible alternative to tight coupling from inheritance, while polymorphism allows a single interface to represent different forms.
#10about 1 minute
Key takeaways for designing object-oriented systems
Good OOP design requires intentionally hiding details, applying principles thoughtfully, and making conscious decisions about class structure and interaction.
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Matching moments
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Introducing the four principles of data-oriented programming
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10:30 MIN
Recognizing OOP abusers that misuse object-oriented principles
Identifying code smells
24:17 MIN
Applying data-oriented programming principles in Java
Modern Java: This is not your father's Java anymore
28:54 MIN
Recognizing object-oriented and dependency antipatterns
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00:03 MIN
Introduction to JavaScript design patterns
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25:17 MIN
Preventing architectural decay and code structure issues
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33:43 MIN
Conclusion and key takeaways on refactoring
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07:56 MIN
The 1980s shift to object-oriented programming
From Punch Cards to AI-assisted Development
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