Memory Management in Python
Memory management is the process of efficiently managing computer memory (RAM). It involves allocating a piece of memory at run-time to the program when the program requests it and freeing the allocated memory for re-use when the program no longer needs it.
In languages like C or Rust, memory management is the responsibility of the programmer. The programmer has to manually allocate memory before it can be used by the program and release it when the program no longer needs it. In Python, memory management is automatic! Python automatically handles the allocation and deallocation of memory.
In this article, we will discuss the internals of memory management in Python. We’ll also cover how fundamental units, such as objects, are stored in memory, different types of memory allocators in Python, and how Python’s memory manager efficiently manages memory.
Understanding the internals of memory management in Python helps in designing memory-efficient applications. It also makes it easier to debug memory issues in an application.
Table of Contents
Python as a Language Specification
Does a Python process release memory?
- Reference Count
- Garbage Collection on the basis of Reference Count
- Cyclic References in Python
- Generational Garbage Collection
gcmodule in Python
Let’s start with understanding Python as a language specification and then dive deep into CPython!
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