Thinking Like a Computer Scientist
Three habits that make hard problems manageable: seeing a problem the way a computer scientist does, splitting it into steps small enough to solve, and spotting the pattern that turns many problems into one. No code required.
CodePLU Goal
Upgrading Human Mental Models
Learn how to think in Workflows
What Is Computational Thinking?
Computational thinking is not thinking like a machine. It is four ordinary habits — breaking things down, spotting patterns, ignoring what does not matter, and being exact — that you already use when planning a trip or reading a metro map.
How Do You Break a Problem Into Steps?
Breaking a problem down is only half the job. The steps must also be in the right order and precise enough that a completely literal follower could not go wrong — which is harder than it sounds.
How Do Patterns Turn Many Problems Into One?
The most valuable move in problem solving is noticing that you are doing the same thing repeatedly — and replacing all of it with one rule. Learn to spot repetition and turn it into something reusable.