Python Memory Mastery: Boost Performance and Crush Memory Leaks
Python's memory management uses weak references and cyclic garbage collection to prevent memory leaks. The gc module allows manual control of garbage collection. Tracemalloc helps detect memory issues. Object pooling and generators optimize memory usage. __slots__ reduces class memory footprint. Metaclasses implement singletons. LRU caching speeds up expensive function calls. Memory-mapped files handle large datasets efficiently.
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