Flatten matrix to vector
Read rows left-to-right, top-to-bottom.
Square each element
Return element-wise squares.
Absolute value per element
Return element-wise absolute values.
Keep positive elements
Return values strictly greater than zero.
Prefix sum vector
Return running totals for each prefix of the vector.
Element-wise multiply
Multiply corresponding elements.
Count non-zero entries
Count elements not equal to zero.
Reverse vector order
Return elements in opposite order.
Transpose a matrix
Swap rows and columns for a rectangular matrix.
L2 norm of vector
Return Euclidean length.
Showing 1–10 of 10 challenges · medium · 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.