Many talks show how to make Python code faster. This one flips the script: what if we try to make our Python as slow as possible? By exploring deliberately inefficient programs — from infinite loops to Turing machines that halt only after an astronomically long time — we’ll discover surprising lessons about computation, large numbers, and the limits of programming languages. Inspired by new Turing machine results, this talk will connect Python experiments with deep questions in theoretical computer science.