A data engineer is working on a complex data transformation pipeline in a Python notebook and encounters unexpected None values being returned in one of their functions. They want to pause the execution at a specific line, step through the code, and check the state of their variables in real-time to identify the source of the issue. Which feature should the data engineer use to achieve this task?