Browser-based Python coding practice
Python practice for beginners who want to write real code.
Use this hub to move from Python basics to hands-on coding exercises, topic drills, DSA practice, and interview-style problems. Each practice lesson gives you a prompt, starter code, examples, visible tests, and a browser editor.
Beginner-first
Start with variables, strings, and if statements
Hands-on
Write code in the browser and run tests instantly
Topic-based
Practice loops, lists, strings, functions, and input
Interview-ready
Build toward arrays, stacks, search, trees, and DP
Python beginner practice
Start with small Python exercises before DSA.
If you are searching for basic Python coding questions, start here. These exercises focus on syntax, variables, strings, conditionals, comparisons, and type conversion before asking you to combine many ideas at once.
Variables
Define a Variable
Create and name values before moving into larger programs.
Strings
Store a String
Work with text values, quotes, and simple assignments.
Type conversion
Convert Data Types
Turn strings and numbers into the form your program needs.
Conditionals
Check Even or Odd
Use if statements and modulo logic to branch correctly.
Comparisons
Compare Two Numbers
Practice greater-than, less-than, and equality decisions.
Python topic practice
Practice one Python topic at a time.
Good Python practice is not random. Pick a topic, solve several problems in the same pattern, then move to the next concept once the loop, condition, or function shape feels natural.
Loops and list practice
Build the core habit of walking through a collection, keeping state, and returning the exact result.
String practice
Practice indexing, scanning, normalization, and character frequency with short text problems.
String traversal
Reverse a String
Reverse characters with indexing or iteration.
Two-way checks
Check If String Is a Palindrome
Compare a string with its reversed form.
Character counting
Count Vowels in a String
Normalize text and count selected letters.
Frequency maps
Check If Two Strings Are Anagrams
Compare letters after sorting or counting.
Functions and input handling
Turn small ideas into reusable functions and handle messy input without crashing.
Functions
Define a Function That Adds Two Numbers
Write a clear function signature and return value.
Return values
Write a Function That Returns a Greeting
Use parameters to produce a predictable result.
Validation
Validate Integer Input
Check input before using it in calculations.
Errors
Safe Divide With Default
Avoid division failures with a fallback value.
Python DSA practice
Build DSA skills after the basics are solid.
Python DSA practice works best when arrays, strings, dictionaries, loops, and functions are already comfortable. These problems introduce common interview patterns without hiding the implementation behind a multiple-choice quiz.
Arrays and scanning problems teach state tracking.
Search problems teach boundaries and invariants.
Recursion and memoization teach repeated subproblems.
Arrays
Compute Array Sum
Scan numbers and return a single aggregate result.
Array scanning
Find the Maximum and Minimum in an Array
Track best values while moving through a list.
Counting
Count Occurrences of a Value
Count matching items with a loop.
Binary search
Implement Iterative Binary Search
Use low and high pointers on sorted input.
Stacks
Validate Parentheses
Use push and pop behavior to match brackets.
Trees
Implement Preorder Traversal
Visit tree nodes in root-left-right order.
Python interview practice
Practice interview-style problems with a repeatable routine.
Interview prep is not just harder questions. It is learning to restate the task, choose a data structure, handle edge cases, and explain why your code passes the tests. Use these problems to practice that routine.
- 1. Read the examples first. Name the input, output, and the rule in your own words.
- 2. Solve the simplest case. Get one visible test passing before optimizing.
- 3. Explain the pattern. Identify whether you used counting, two pointers, a stack, recursion, or DP.
Hash maps
Find the First Non-Repeating Character
Count frequencies, then scan for the first unique value.
Sets
Count Unique Elements
Use uniqueness to simplify repeated values.
Two pointers
Move Zeros to the End While Preserving Order
Reorder values while keeping non-zero order stable.
Dynamic programming
Compute Fibonacci With Memoization
Cache repeated recursive work.
Full learning path
Continue from broad Python practice into the curriculum.
This hub is the entry point for broad Python practice intent. The curriculum keeps the same work ordered by track and module, so you can move from beginner Python exercises to topic drills and DSA without losing your place.