Lesson 6
Boolean Indexing
Filter with conditions:
a = np.array([15, 22, 8, 41, 3, 30]) a[a > 20] # [22, 41, 30]
Why this matters
Boolean masks are how you express filters in one expression: keep rows that pass a test, drop noise, or tag outliers—without slow Python loops over elements.
This pattern is the NumPy side of what becomes .loc with boolean Series in pandas.
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🎯 Your Task
Given scores = np.array([45,82,91,67,55,98,73,88]), create passing with scores ≥ 70.
scores[scores >= 70]
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▶ Output
Run your code to see output here.