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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