Python Memory Management Explained (Data Science Interview Guide Reference Counting & GC)
🔥 Understand how Python really manages memory — from reference counting to garbage collection — and why it matters in data-science interviews and real pipelines.
In this 3-minute crash course, you’ll learn:
• How Python stores and releases memory automatically (private heap, reference counts, GC).
• Why circular references cause memory leaks — and how to detect them in data pipelines.
• How I reduced a production system’s memory footprint from 16GB to 4GB using weak references and cleanup methods.
• A sample interview answer you can use for Python internals or data-engineering roles.
Who this video is for:
• Data scientists, ML engineers, and Python developers preparing for interviews.
• Professionals facing unexplained memory leaks in Pandas, NumPy, or large ETL jobs.
📺 Watch full playlist on Python Interview Series:
• Top 200+ Python Data Science Interview Que...
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