Practice Arena

Python Coding Challenges

Write real Python in the browser. Instant feedback. From beginner to expert.

925 challenges 556 easy 323 medium 46 hard
Data Formats & Parsing easy

Parse table rows

Implement a function that converts a simple text table into a list of dictionaries.

parsing strings csv
+10 pts 15m
SQL & SQLite easy

Inner Join Two Tables

Write a function that inner joins two lists of dictionaries on a common key and returns the combined rows.

sql join dictionaries
+8 pts 12m
SQL & SQLite easy

Create Table Schema

Write a function that creates a SQLite table with a given name and columns, and returns the resulting schema as a list of column definitions.

sqlite schema table
+8 pts 10m
SQL & SQLite easy

Second highest salary

Given an employees table, write a SQL query that returns the second highest distinct salary, or NULL if it doesn't exist.

sql sqlite query
1
+8 pts 10m
SQL & SQLite easy

Customers Never Order

Given Customers and Orders tables, return the names of customers with no orders, sorted alphabetically, or None if all have ordered.

sql sqlite join
+10 pts 15m
SQL & SQLite easy

Cumulative Sum SQL

Write a SQL query to compute cumulative sales totals per product ordered by sale date.

sql window-functions running-total
+8 pts 12m
SQL & SQLite easy

Select All Users

Write a function that connects to an in-memory SQLite database and returns all users as a list of lists.

sqlite sql query
+10 pts 15m
SQL & SQLite easy

Add column alter

Write a function that connects to an in-memory SQLite database, creates a table, inserts rows, and adds a new column with ALTER TABLE.

sqlite alter-table ddl
+10 pts 15m
Numpy & Vectorized Computing easy

Element-wise vector addition

Add equal-length numeric lists element-wise.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Scale a vector by scalar

Multiply every element by k.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Dot product of two vectors

Return sum of element-wise products.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Mean of a vector

Return arithmetic mean or 0.0 when empty.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Maximum element in vector

Return largest value or None when empty.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Minimum element in vector

Return smallest value or None when empty.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Clip vector to range

Clamp each value to [lo, hi].

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Min-max normalize vector

Scale values to 0..1; equal values become all 0.0.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Sum each matrix row

Given rows, return each row sum.

vectors arrays numpy-style
+10 pts 12m
Numpy & Vectorized Computing easy

Sum each matrix column

Return column totals for a rectangular matrix.

vectors arrays numpy-style
+10 pts 12m
Cryptography & Hashing easy

SHA256 Hash String

Write a function that returns the SHA256 hexadecimal digest of a given string.

hashing sha256 hashlib
+5 pts 5m
Cryptography & Hashing easy

Compute SHA-1 Hash String

Write a function that returns the SHA-1 hash of a string as a 40-character hex string.

sha1 hashlib hashing
+10 pts 15m
Cryptography & Hashing easy

Constant Time Compare

Write a function that compares two strings without leaking length or content via timing.

constant-time security comparison
+10 pts 15m
Cryptography & Hashing easy

Verify HMAC signature

Implement a function that verifies an HMAC-SHA256 signature for a message and key.

hmac hashlib security
+10 pts 15m
Cryptography & Hashing easy

Password Salt Hash

Implement a function that returns a secure salted SHA-256 password hash with a deterministic format.

hashlib sha256 security
+8 pts 12m
Cryptography & Hashing easy

SHA1 Hash String

Implement a function that returns the SHA1 hexadecimal digest of an input string.

sha1 hashlib hashing
+10 pts 15m

Showing 529–552 of 556 challenges · easy

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.