Student Grade Analysis

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Student Grade Analysis

📋 Context

You're a teacher with exam scores for 5 students across 4 tests. You need to analyze performance, identify struggling students, and reason about the grade book as a single numerical object.

5 by 4 grade grid: each row is a student, each column a test; shape 5 comma 4. — Think of the sheet as one 2D array: each row is a student, each column a test—then row means and boolean masks have a clear meaning.

This scenario uses the same patterns as the Aggregation and Boolean indexing lessons.

Step 1: Load & Inspect

🎯 Task

Create a 2D array grades with this data (5 students × 4 tests):
[[85,90,78,92],[65,70,60,55],[95,88,97,93],[72,68,75,70],[88,82,90,85]]
Print its shape.

np.array([[85,90,78,92],[65,70,60,55],...])

exercise.py

⌘⏎ run · ⌘← → nav

▶ Output

Run your code to see output here.