Mutable vs Immutable Objects in Python | Memory Behavior Explained | 10

In this video, we explain the difference between mutable and immutable objects in Python and how they behave in memory. This concept is fundamental for understanding Python’s memory model, avoiding bugs, and writing efficient code in Data Engineering pipelines.

We connect mutability with memory allocation, references, performance, and real-world coding scenarios.

🔥 What You Will Learn

• What are mutable and immutable objects
• Examples of immutable objects (int, float, str, tuple)
• Examples of mutable objects (list, dict, set)
• How immutable objects behave in memory
• How mutable objects behave in memory
• Why modifying immutable objects creates new objects
• Reference behavior with mutable objects
• Function argument behavior (pass by object reference)
• Common bugs caused by mutability
• Performance implications in Data Engineering scripts
• Best practices for choosing mutable vs immutable objects
• Interview-ready explanation of mutability

This session is part of the Python for Data Engineering Playlist, designed for Data Engineers who want a strong understanding of memory behavior before working with Spark, Pandas, and large-scale pipelines.

🔗 Playlists

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