How to Fix Python Pandas Memory Leaks in Large Dataset Processing Loops
Processing massive CSV log dumps or AI training chunks inside automated Python pipelines is a standard backend operational workflow. However, developers continuously battle a stealthy infrastructure infrastructure bottleneck: gradual RAM accumulation or Python Pandas memory leaks inside execution loops. Unlike dynamic web runtimes, Python’s memory management relies heavily on reference counting. When you sequentially load…