Mycpen

This article provides a summary of Python memory management. It covers three main aspects: reference counting, garbage collection, and memory pooling. Python primarily relies on reference counting, but also uses garbage collection and memory pooling. The article discusses the concept of references and how they are separate from objects. It also explains the issue of circular references and how they can prevent garbage collection, leading to memory leaks. The article highlights the advantages and disadvantages of reference counting and introduces garbage collection as a solution. It emphasizes the importance of understanding garbage collection for writing robust code. The article also mentions buffer pools in Python, where pre-initialized objects are used for small integers and memory space is allocated for larger integers. String caching is also mentioned, but special characters cannot be stored in the cache.