7 Common Python Dry Run Mistakes
Avoid the most frequent code tracing traps that catch beginners and candidates in technical interviews.
Python dry-running is an essential skill for debugging and interviews. Most candidates who struggle do so because of a few repeatable habits. Here are the top mistakes and how to fix them.
Mistake 1: Evaluating Expressions Right-to-Left
x = 5 y = x + (x := 10) print(x, y)
Python evaluates expressions strictly from left to right. Here, the first x is read as 5, then the walrus operator sets x to 10. So y = 5 + 10 = 15. The output is 10 15.
Mistake 2: Forgetting Default Mutable Argument Persistence
def add_item(item, items=[]):
items.append(item)
return items
print(add_item(1))
print(add_item(2))Default mutable parameters are created once when defined. Both calls share the same list object. The output is [1] followed by [1, 2].
Mistake 3: Confusing Shallow Copy with Reference Aliasing
Writing b = a does not copy the list; both names point to the same memory address. Use b = a.copy() or b = list(a) if you need an independent list.
Quick Concept Quiz
What is the output of running: x = 5; y = x + (x := 10); print(y)?
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