# Memory Profiling 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) ```