Consistency of Execution Counts across Different Kernel Versions
Execution Count State Management Jupyter Notebooks utilize a ZeroMQ-based messaging protocol to synchronize state between the frontend and the kernel. While the kernel manages the active memory state, the frontend tracks the sequence of cell execution via execution counts stored in the notebook metadata. A challenge arises when notebooks are shared across di
jupyter