Garbage Collection Python - Learn Data Science with Travis

Garbage-Collection-Python

Garbage collection in Python is an essential memory management process that automatically reclaims memory occupied by objects that are no longer in use. This mechanism helps prevent memory leaks and optimizes the performance of Python applications. Python primarily employs two techniques for garbage collection: reference counting and generational garbage collection. Reference counting tracks the number of references to each object, while generational garbage collection identifies and collects objects that are unreachable, even if they are part of a reference cycle. Understanding garbage collection can help developers write more efficient code and manage memory effectively in their applications.

Python Garbage Collection: What It Is and Why You Should Care

Python in Plain English

Have you ever borrowed your friend’s car, parked it, and then forgot to return the keys? At first, it’s no big deal, but toward the end of that time frame, they need their car back, and now there is a...

Python: Under The Hood [Garbage Collection]

Analytics Vidhya

python programming language uses reference garbage collector and generational garbage collector to perform memory clean and heap fragmentation

How Does Python Garbage Collection Work?

Towards Data Science

Python garbage collection mechanism relies on the reference count and the memory address/location of the objects. The functions id and getrefcount help.

Understanding Python Garbage Collection: A Practical Approach with Code Snippets

Python in Plain English

Python is a powerful and versatile programming language that offers many features and benefits for developers and users alike. However, one of the challenges of working with Python is understanding ho...

Understanding Python’s Garbage Collection and How to Optimize Memory Usage

Level Up Coding

Have you ever wondered how Python magically “cleans up” memory after your program is done with certain variables? If so, you’re not alone! When I started learning Python, I often ignored the technical...

Understanding Python’s Memory Management and Garbage Collection

Python in Plain English

Garbage collection strategies in Python Introduction: Have you ever wondered how does python manage its memory? Well, python allocates and deallocates memory automatically for us and developers do no...

What is Garbage Collection and Why Does Python Need It?

The Pythoneers

Imagine you’re a meticulous housekeeper. You have a system for organizing your belongings. When you’re finished with something, you put it back in its designated place. But what happens when you forge...

Garbage Collector(GC) in Python (Part-I)

Analytics Vidhya

Hi readers, this blog post would try to explain the implementations of the GC module.. “Garbage Collector(GC) in Python (Part-I)” is published by Ibrahim Sha in Analytics Vidhya.

— Garbage Collector interface

The Python Standard Library

gc — Garbage Collector interface This module provides an interface to the optional garbage collector. It provides the ability to disable the collector, tune the collection frequency, and set debuggin...

Python Weak References in 2025: A Simpler Way to Work with the Garbage Collector

The Pythoneers

How Python Manages Memory Python uses reference counting : for every object, it stores how many variables refer to it. When this counter drops to zero, the object is freed. If there are cyclic referen...

Memory and Garbage Collection in Python

The Pythoneers

Have you wondered what happens when you create an object in Python? Where does it get stored? Or what happens if more than two kinds of data get stored in the same variable? How does the memory…

Using Python’s Garbage Collector with Pandas DataFrame for Higher Efficiency and Performance

Towards Data Science

When working with large datasets, using python's garbage collector with pandas DataFrame may improve efficiency and performance. A look at memory management in python.