Practice Arena

Python Coding Challenges

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925 challenges 556 easy 323 medium 46 hard
Bit Manipulation medium

Maximum XOR Pair

Implement max_xor_pair(nums) that returns the maximum XOR value obtainable by pairing any two numbers in the given list.

bit-manipulation xor array
+25 pts 30m
Bit Manipulation easy

Find Duplicate Bits

Given a positive integer, return the positions where the bit value appears more than once in its binary form.

bit-manipulation binary counting
+8 pts 12m
Bit Manipulation easy

Toggle kth Bit

Implement a function that toggles the kth bit of a non-negative integer (0-indexed from the least significant bit) and returns the new integer.

bit-manipulation xor binary
+10 pts 10m
Bit Manipulation easy

Odd Parity Bit

Given an integer, return the odd parity bit (0 or 1) so that total number of 1-bits in the 8-bit representation becomes odd.

bitwise parity integer
+8 pts 10m
Bit Manipulation easy

Parse bit field flags

Write a function that unpacks a bit field integer into a dict of named boolean flags.

bitmask bitwise flags
+10 pts 12m
Bit Manipulation easy

Subset XOR sum

Given a list of integers, compute the bitwise XOR of each non-empty subset and return the sum of those XOR totals.

xor bitwise subsets
+8 pts 10m
Bit Manipulation easy

Check kth bit

Implement a function that checks whether the k-th bit of a non-negative integer is set (1) or not (0).

bit-manipulation bitwise integer
+8 pts 10m
Bit Manipulation easy

Even Parity Bit

Given an integer, return the even parity bit (0 or 1) that makes the total count of set bits even.

bitwise parity bits
+8 pts 10m
Dynamic Programming medium

Levenshtein Distance

Implement the classic Levenshtein distance algorithm to measure string similarity.

strings dynamic-programming edit-distance
+30 pts 30m
Dynamic Programming medium

Kadane Variant: Maximum Product Subarray

Implement max_product_subarray(nums) that returns the maximum product of any contiguous subarray.

kadane subarray product
+30 pts 25m
Dynamic Programming medium

Max Profit from Selling Twice

Compute the maximum profit that can be achieved by completing at most two buy-sell transactions on a given price array.

dynamic programming arrays stock
+28 pts 30m
Dynamic Programming medium

Bell number

Implement a function to compute the Bell number B(n) using dynamic programming.

dp combinatorics math
+25 pts 25m
Dynamic Programming easy

Climbing Stairs

Implement a function that returns the number of distinct ways to climb n stairs using steps of 1 or 2.

fibonacci dp counting
+10 pts 15m
Dynamic Programming easy

Min cost climbing stairs

Compute the minimum total cost to reach the top of a staircase, given you can climb 1 or 2 steps at a time.

dynamic programming memoization array
+10 pts 15m
Dynamic Programming easy

House Robber

Given a list of house values, return the maximum sum you can rob without robbing two adjacent houses.

dynamic-programming arrays optimization
+10 pts 15m
Dynamic Programming medium

House Robber Circular

Solve the House Robber problem with houses arranged in a circle.

dynamic-programming arrays circular
+25 pts 30m
Dynamic Programming easy

Unique Paths in a Grid

Count the number of unique paths from the top-left corner to the bottom-right corner of a grid, moving only right and down.

dynamic-programming grid counting
+15 pts 20m
Dynamic Programming medium

Unique Paths with Obstacles

Given a 2D grid with obstacles, count the unique paths from top-left to bottom-right moving only down or right.

dynamic-programming grid 2d-array
+25 pts 25m
Dynamic Programming easy

Triangle Minimum Path

Compute the minimum path sum from top to bottom of a triangle given as a list of lists.

dynamic-programming bottom-up arrays
+12 pts 20m
Dynamic Programming medium

Maximal square

Given a 2D binary matrix of 0s and 1s, compute the area of the largest square containing only 1s.

dynamic-programming matrix maximal-square
+30 pts 30m
Dynamic Programming medium

Longest Common Subsequence

Given two strings, compute the length of the longest subsequence common to both.

dynamic-programming strings lcs
+30 pts 30m
Dynamic Programming medium

Longest Palindromic Subsequence

Compute the length of the longest palindromic subsequence in a given string.

strings dp subsequence
+25 pts 30m
Dynamic Programming medium

Edit Distance (Levenshtein Distance)

Implement the classic edit distance algorithm to find the minimum number of single-character edits required to transform one string into another.

dynamic-programming strings levenshtein-distance
+25 pts 30m
Dynamic Programming medium

0/1 Knapsack

Implement the classic 0/1 Knapsack dynamic programming solution to maximize value under a weight capacity.

dynamic-programming knapsack optimization
+30 pts 25m

Showing 553–576 of 925 challenges

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.