This project is an exploration of basic Python concepts, focusing on decision-making, loops, and randomization. The code examples showcase the use of conditional statements, different looping ...

Design-based causal inference, also known as randomization-based or finite-population causal inference, is one of the most widely used causal inference frameworks, largely due to the merit that its ...

Python's `set` is specified not to guarantee order, but I encountered some interesting behavior while actually using it. Within a single process, the order of `set` is identical Across multiple ...