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Top 50 numpy Interview Questions

The most frequently asked numpy questions across all roles and companies, ranked by real interview frequency. Updated daily.

50questions
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41companies covered
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1
CodingStart here. 28 questions · ~280 min
Linear Regression in NumPyHard
Practice

Implement multivariate ordinary least squares in bare NumPy, including an intercept and rank-deficient feature matrices.

Codinglinear regressionnumpyQuantiphi
Implement Binary Focal Loss GradientsHard
Practice

Implement numerically stable binary focal loss and its backward pass from logits, including reduction handling.

backpropagationloss functionsnumpyWaymo
Non-In-Place Matrix MultiplicationEasy
Practice

Multiply two compatible matrices while preserving both inputs and returning a newly allocated result.

numpyOpenAI
In-Place Matrix MultiplicationMedium
Practice

Compute the product of two matrices directly into a preallocated output matrix without allocating a result matrix.

numpyOpenAI
Pandas or NumPy Data TransformationsMedium

Tests practical data wrangling skills and correctness of dataframe transformations and aggregations.

pandasnumpyData Manipulation
Why NumPy Is FastMedium

Assesses your understanding of performance characteristics in numerical computing.

numpyperformanceTTDU.S. Bank National Association
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2
Machine Learning6 questions · ~60 min
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3
SQL & Data Manipulation8 questions + 3 drills · ~110 min
4
Pipelines4 questions · ~40 min
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5
More topics4 questions · ~40 min
Translating Math Into Efficient NumPyMedium

Tests ownership in research execution: turning mathematical ideas into correct, efficient NumPy code while balancing speed, rigor, and code quality.

numpyProblem SolvingresearchWaymo
Using NumPy in PythonMedium

Assesses practical understanding of NumPy and its role in data processing tasks.

numpypythonVerizon
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