Practice Arena

Python Coding Challenges

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925 challenges 556 easy 323 medium 46 hard
Lists & Arrays hard

Sliding window maximum

Return the maximum of each window of size k as it slides across an array.

sliding-window deque arrays
+40 pts 35m
Functions & Closures hard

Curry a function

Auto-curry any multi-argument function so it returns partial applications until fully saturated.

functional closures inspect
+35 pts 30m
Data Structures & Algorithms hard

Longest increasing subsequence

Return the length of the longest strictly increasing subsequence.

dp binary-search LIS
+45 pts 40m
Data Structures & Algorithms hard

Topological sort (Kahn)

Return a valid topological ordering of tasks, or [] if a cycle exists.

graph BFS topological-sort
+45 pts 40m
Data Structures & Algorithms hard

Word ladder length

Return the length of the shortest transformation from beginWord to endWord changing one letter at a time.

BFS graph strings
+45 pts 40m
Data Structures & Algorithms hard

Median of Two Sorted Arrays

Given two sorted arrays, return the median of the combined sorted array in O(log(min(n,m))) time.

median binary search arrays
+45 pts 40m
Dynamic Programming hard

Palindrome Partitioning Minimum Cuts

Given a string, return the minimum number of cuts needed such that every substring in the partition is a palindrome.

dynamic-programming palindrome strings
+40 pts 35m
Graphs & Graph Algorithms hard

Dijkstra Shortest Path

Implement Dijkstra's algorithm on a weighted graph to return distances from a source to every node.

dijkstra graph heap
+35 pts 30m
Graphs & Graph Algorithms hard

Minimum Cut

Given an undirected graph in adjacency-list form, return the size of the minimum edge cut that disconnects the graph.

graphs max-flow min-cut
+40 pts 35m
Recursion & Backtracking hard

Remove invalid parentheses

Given a string with parentheses and letters, return all valid strings after removing the minimum number of invalid parentheses.

backtracking parentheses string
+45 pts 40m
Binary Search hard

Kth Smallest in Sorted Matrix

Implement kth_smallest(matrix, k) to return the kth smallest element in a row- and column-sorted square matrix.

matrix binary-search heap
+40 pts 35m
Two Pointers & Sliding Window hard

Minimum Window Subsequence

Given strings s and t, return the minimum window substring of s that contains t as a subsequence, or empty string if none exists.

sliding-window recursion dynamic-programming
+40 pts 35m
Linked Lists hard

Second node value

Return the second value or None if fewer than two nodes.

linked-list lists pointers
+35 pts 30m
Linked Lists hard

Drop the tail node

Return a new list without the last node.

linked-list lists pointers
+35 pts 30m
Linked Lists hard

Join node values with arrows

Format string node values as 'a -> b -> c'; empty list returns ''.

linked-list lists pointers
+35 pts 30m
Linked Lists hard

Compare two linked lists

Return True when both lists have identical values in order.

linked-list lists pointers
+35 pts 30m
Numpy & Vectorized Computing hard

Index of maximum value

Return index of largest value (first on tie).

vectors arrays numpy-style
+35 pts 30m
Numpy & Vectorized Computing hard

Inclusive numeric range vector

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

vectors arrays numpy-style
+35 pts 30m
Numpy & Vectorized Computing hard

Count elements in matrix

Return total scalar count.

vectors arrays numpy-style
+35 pts 30m
Numpy & Vectorized Computing hard

Binarize vector at threshold

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

vectors arrays numpy-style
+35 pts 30m

Showing 1–20 of 20 challenges · hard

Guide: free Python coding challenges

Practice Python by solving problems

PythonSkillset challenges are hands-on coding exercises from beginner to advanced. Open a challenge, read the problem, write Python in the split-pane editor, and run tests with Pyodide — no install required.

How to use the arena

  1. Pick a category — basics, algorithms, strings, and more
  2. Open a challenge, read the statement, and edit the starter code
  3. Run tests, fix failures, then try a related quiz or tutorial lesson

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.