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April
11
Friday
2025
2025 04 11

📦 Thinking Like a Programmer – A Guide to Principles, Ideas, and Design



📦 Module Outline
What is Programming?
  • Programming as a way of thinking, not just typing code
  • The computer as an executor of structured ideas
  • Imperative vs declarative paradigms
  • The programmer as a translator between humans and machines
Abstraction
  • What is an abstraction?
  • Modeling meaningful structures
  • Examples from everyday life and code (e.g. “a playlist”, “a transaction”)
Modularity and Responsibility
  • Separation of concerns
  • Functions, modules, and boundaries
  • Decomposing problems into parts
State and Change
  • What does "state" mean?
  • Mutable vs immutable state
  • Bugs, time, and traceability
Flow and Control
  • Decisions and repetition, conceptually
  • Control flow as narrative: “What happens, and in what order?”
  • Structured thinking around conditionals
Data Types and Structure
  • Why types matter, even in dynamically typed languages
  • Data as meaning carriers
  • The form and structure of data models
Failure and Imperfection
  • Failing gracefully – the art of error handling
  • What is an exception?
  • Building resilient code and resilient mindsets
Reading Code
  • What makes code readable?
  • Code as communication
  • Cultural and stylistic variations
Algorithmic Thinking
  • From problem to process
  • What makes a solution “efficient”?
  • Strategic thinking beyond specific algorithms
Design Principles in Practice
  • DRY, KISS, YAGNI – when and why they matter
  • “Code smells” and anti-patterns
  • Navigating imperfect choices
Ethics and Aesthetics in Programming
  • Code as expression
  • The developer’s responsibility
  • Building with care and clarity