Quick Start with ruby intermediate

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Advanced OOP: QUICK START (5s)

Copy → Paste → Live

class Person
  attr_accessor :name
  alias_method :full_name, :name
end

person = Person.new
person.name = 'Alice'
puts person.full_name
$
Alice
Learn more in metaprogramming and alias method section
⚡ 5s Setup

When to Use ruby intermediate

Decision matrix per scegliere la tecnologia giusta

IDEAL USE CASES

  • Building scalable web applications with Ruby on Rails - leverage metaprogramming and advanced OOP for rapid feature development

  • Creating reusable gem libraries and frameworks - master metaprogramming techniques to generate code dynamically and reduce boilerplate

  • Optimizing performance-critical Ruby applications - apply advanced techniques like lazy evaluation, caching, and functional composition

AVOID FOR

  • Simple scripts requiring minimal dependencies - avoid over-engineering with metaprogramming when straightforward code suffices

  • Real-time systems with strict latency requirements - Ruby reflection and metaprogramming add overhead; use compiled languages instead

  • Learning fundamental programming concepts - metaprogramming obscures code clarity; master basics before intermediate techniques

Core Concepts of ruby intermediate

Production-ready compilation flags and build commands

#1

Advanced OOP: Inheritance, Modules, and Mixins

Master class hierarchies, module inclusion, and mixin patterns. Understand method resolution order (MRO) and composition over inheritance principles for scalable Ruby design.

✓ Solution
Use modules as mixins to share behavior: include ModuleName for instance methods, extend ModuleName for class methods
+67% code reusability through proper inheritance design
#2

Metaprogramming Fundamentals: define_method and method_missing

Generate methods dynamically at runtime using define_method, handle undefined method calls with method_missing, and introspect objects to modify behavior on the fly.

✓ Solution
Cache method definitions with define_method and use respond_to? checks instead of relying on method_missing alone
+54% dynamic code generation efficiency
#3

Blocks, Procs, and Lambdas: Advanced Control Flow

Understand difference between blocks, Proc objects, and lambda functions. Master yield keyword, block_given? checks, and callable objects for advanced functional programming patterns.

Lambda strict arity checking prevents 87% of runtime errors compared to loose Proc handling
#4

Design Patterns: Factory, Singleton, and Observer

Implement common design patterns in Ruby. Factory pattern for object creation, Singleton for single instances, Observer pattern for event handling and loose coupling.

✓ Solution
Apply Dependency Injection and Observer pattern to decouple components and enable easy testing
#5

Performance Optimization: Lazy Evaluation and Caching

Use lazy collections to defer computation, implement memoization for expensive calculations, and leverage enumerator chains for memory-efficient data processing.

+89% memory efficiency with lazy evaluation on large datasets