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NumPy Tutorial• 4 min read
NumPy Summary & Certification Exam
Claim your official NumPy Scientific Computing Specialist certificate
Validate your understanding of ndarray contiguous memory, broadcasting mechanics, ufuncs, aggregations along axes, linear algebra, and random distributions.
Key Skills Tested
Contiguous memory layouts and C-level vectorization benefits.
Multi-dimensional indexing, slicing views vs copies, and boolean masks.
The two golden broadcasting rules for arrays of different shapes.
Axis operations: axis=0 (column-wise) vs axis=1 (row-wise).
Matrix operations with the @ operator and np.linalg functions.
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Test Yourself With Exercise
In NumPy, what is the effect of operating on an array with `arr[arr < 0] = 0`?