Take n Items
Given a list and a non-negative integer n, return a new list containing the first n elements.
Overlap two intervals
Given two closed intervals, return their overlap as a tuple or None if they do not overlap.
Filter by Age
Filter a list of person dictionaries by age and return their names.
Limit and Offset Query
Write a function that returns a page from a dataset given limit and offset.
Rank Employees by Salary
Sort a list of employee dictionaries by salary descending, tie-break by name, and return ranked strings.
Array mean and std
Implement the function array_stats that returns the mean and population standard deviation of a list of numbers.
Broadcast Add Scalar
Add a scalar to every number in a 2D list and return a new 2D list without modifying the original.
Fancy Index Select
Given a 2D matrix and a list of row indices, select those rows in order and return them as a new 2D list.
Cumulative Sum Vectorized
Implement a function that returns the cumulative sum of a list of numbers.
Percentile Calculation
Given a list of numbers and a target value, return the percentile rank of that value in the list.
Logging Filter
Given a list of log entries, return those matching a given severity level and containing a keyword.
Order by Name
Implement a function that sorts a list of names alphabetically ignoring case, returning a new list.
Invariant checker
Implement check_invariant(a, b, c) that returns True when a equals b plus c and False otherwise, matching the given examples.
Argmax along axis
Write a function that returns index positions of the maximum values along rows or columns of a 2D list.
Showing 49–62 of 62 challenges · Python Basics
Python Basics — Python coding challenges
What you will find here
This page lists python basics 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.