This note explains how Python variable assignment creates references, demonstrates the differences between shallow and deep copying of lists, and provides concrete code examples showing how modifications affect original and copied objects for both one‑dimensional and multi‑dimensional lists.
This article explains Python's assignment operator behavior, demonstrates why it creates shared references rather than true copies, and provides detailed examples of shallow and deep copying using the copy module, including code snippets, output analysis, and practical scenarios such as data processing and game development.
This article explains the difference between shallow and deep copying in Python, shows why simple copies can unintentionally modify original data, provides visual memory diagrams, demonstrates multiple copying methods with code examples, compares performance, and offers practical guidelines for choosing the right copy technique in real projects.
This article explains the concept of deep copy in Python, demonstrating how it recursively copies all nested objects using the copy module's deepcopy function, with practical examples including basic data types, lists, dictionaries, and custom objects.
This guide explains the difference between Python's shallow and deep copy mechanisms, shows the built‑in tools available, and provides ten concrete code examples covering lists, dictionaries, custom objects, tuples, sets and multi‑level nesting to help you choose the right copying strategy for reliable API test automation.
This article explains how Python variables reference objects in memory, distinguishes between shallow and deep copying, demonstrates three common copying techniques (slicing, factory functions, and the copy method) with lists and tuples, and shows how to use the copy module for deep copies.
This article explains Python's object model, the difference between mutable and immutable objects, how references work, and provides clear examples of shallow and deep copying—including when each method should be used to avoid unintended data modification.
This article explains how Python handles object assignment, the differences between shallow and deep copying using the copy module, and special cases such as immutable types and tuples, providing clear examples and visual output to avoid common pitfalls.
