Worked on the QuantEcon/lecture-python.myst repository to stabilize and refactor the conditional expectation simulation in the Two Auctions lecture. Addressed a bug by adjusting the valuation generation process, which improved the consistency and accuracy of simulation results and clarified the overall simulation setup. This effort enhanced the reliability and reproducibility of the teaching materials, making them easier to teach and verify. Utilized Python for scientific computing and simulation, with Markdown used for documentation and instructional clarity. The work contributed to the long-term maintainability of the codebase by improving code readability and documentation, supporting both educators and future contributors.