Mathematics often feels abstract because it is taught as static symbols on a page. But real understanding comes from seeing how ideas behave when you change them. Thinking in Math brings an experimental mindset to mathematics, using Python as a tool for exploration. Across eighteen carefully chosen topics, readers write and modify small programs to observe patterns, test assumptions, and see mathematical concepts unfold in real time. This is not a programming book, and it is not a traditional math textbook. Instead, it treats math the way scientists treat physical systems: by running experiments, asking 'what if?', and learning from what happens. With only basic arithmetic and algebra as prerequisites, readers develop mathematical intuition by doing, not by rote.