Working with large datasets in Python can often result in memory utilization issues. To reduce the memory utilization, the variables that are no longer immediately needed can be written to the disk. These variables can then be removed from the memory, thereby reducing the memory utilization. When these variables are needed at a later stage in the program, it can be easily restored from the disk. This strategy works for majority of the use cases, where the disk space is cheaper and more readily available than the main memory. In Python, restoring a variable from the disk can be efficiently handled using Pickle. Here is a concise Python3 code example for using Pickle to manage memory utilization, by using the strategy of restoring a variable from the disk.
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