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Understanding Python’s Memory Management: Reference Counting, Garbage Collection, and Optimization
Memory management is a critical aspect of programming, and Python handles it automatically. But how does it work behind the scenes? In this post, we’ll dive deep into reference counting, garbage collection, and memory optimization techniques in Python. 1️⃣ Reference Counting: The Core of Python’s Memory Management ✅ What is Reference Counting? Python uses a technique called reference counting to keep track of objects in memory. Every object in Python has a reference count that indicates how many variables or data structures are pointing to it.
Memory management is a critical aspect of programming, and Python handles it automatically. But how does it work behind the scenes? In this post, we’ll dive deep into reference counting, garbage collection, and memory optimization techniques in Python.
1️⃣ Reference Counting: The Core of Python’s Memory Management
✅ What is Reference Counting?
Python uses a technique called reference counting to keep track of objects in memory. Every object in Python has a reference count that indicates how many variables or data structures are pointing to it.
