Managing memory usage is critical, especially when dealing with large datasets or complex models. Python's tracemalloc module allows users to trace memory blocks allocated by Python. It can be a lifesaver when debugging memory leaks or just for understanding where most of the memory is being consumed. Here's how you can utilize it: ``` import tracemalloc # Start tracing memory allocations tracemalloc.start() # Your code that might be memory-intensive x = [i for i in range(1000000)] # Capture the current snapshot and display the top 5 memory-consuming lines snapshot = tracemalloc.take_snapshot() top_stats = snapshot.statistics('lineno') # or 'filename' or 'traceback' # Display the top 5 lines consuming memory for stat in top_stats[:5]: print(stat) ```