Thinking Like a Computer: Algorithms and Pseudocode

Imagine you had to write instructions so precise that a robot — with zero common sense — could make a bowl of cereal without making a single mistake. Would 'pour some milk' be precise enough? Probably not. The robot might pour the entire carton. Every tiny decision needs spelling out: how much milk, what to do if the bowl is already full, when to stop pouring. This is exactly the challenge programmers face every day.