Python Function Calls Explained | Stack Frames, Recursion & Stack Overflow | 11
In this video, we dive deep into how function calls work in Python and why stack overflow errors occur. Understanding the call stack is critical for Data Engineers to debug recursion issues, optimize performance, and write safe, scalable Python code for ETL pipelines and batch jobs.
We connect function execution with Python’s stack frames, memory model, and real-world failure scenarios.
🔥 What You Will Learn
• How function calls work internally in Python
• What is the call stack
• What is a stack frame
• How local variables are stored during function execution
• Function call lifecycle (call → execute → return)
• How recursive function calls work
• What is recursion depth
• Why stack overflow occurs
• RecursionError: maximum recursion depth exceeded explained
• Difference between stack overflow and memory leak
• Impact of deep recursion in Data Engineering jobs
• How to avoid stack overflow (iteration, tail recursion limits)
• Interview-ready explanation of function calls & stack
This session is part of the Python for Data Engineering Playlist, designed for Data Engineers who want deep execution-level understanding before working with Spark, Airflow, and large-scale pipelines.
🔗 Playlists
Channel
/ @mydatalab-hemanth
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