Worked on enhancing dataflow cache visibility and user experience in Jupyter environments for the apache/hamilton and apache/burr repositories. Developed a cache visualization feature for Jupyter magic commands, refining result display options to improve clarity for users. Strengthened caching robustness by updating object fingerprinting logic to handle edge cases involving empty dictionaries. Integrated Burr UI iframe support within Jupyter notebooks, allowing customizable display and improved formatting for command-line options. Addressed environment detection by refining logic to correctly identify Jupyter as the base case, preventing misclassification. Utilized Python, Jupyter Notebooks, and software testing to deliver these targeted improvements and bug fixes.