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Understanding Weak References in Python – Managing Memory Efficiently

  • Weak references in Python allow for tracking objects without preventing them from being garbage-collected.
  • Weak references are useful for caching, tracking, or observing objects without keeping them alive.
  • They help avoid memory leaks, store metadata about objects without owning them, and build auto-expiring caches.
  • Best practices include checking for valid references and using weak references when not wanting to own the object.

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