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925 challenges 556 easy 323 medium 46 hard

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Numpy & Vectorized Computing hard

Index of maximum value

Return index of largest value (first on tie).

vectors arrays numpy-style

Numpy & Vectorized Computing hard

Add scalar to vector

Add constant k to every element of the vector.

vectors arrays numpy-style

Numpy & Vectorized Computing hard

Inclusive numeric range vector

Return [start, start+step, ...] through end inclusive.

vectors arrays numpy-style

Numpy & Vectorized Computing hard

Count elements in matrix

Return total scalar count.

vectors arrays numpy-style

Numpy & Vectorized Computing hard

Binarize vector at threshold

Return 1.0 where v[i] >= t else 0.0.

vectors arrays numpy-style

Showing 1–5 of 5 challenges · hard · Numpy & Vectorized Computing

Numpy & Vectorized Computing — Python coding challenges

What you will find here

This page lists numpy & vectorized computing challenges — real Python problems you solve in the browser IDE with instant test feedback. Each challenge includes a clear brief, starter code, and automated checks.

Challenges vs tutorials and quizzes

Challenges test what you can build under constraints. For guided teaching, use our Python tutorials. For quick checks, try quizzes or copy snippets from code samples.