Best Coding Challenges for Beginners (Ordered by Concept)

The best coding challenges for beginners are the fifteen below, worked in this order: strings, arrays, hash maps, math, recursion, stacks, linked lists, and two pointers. Each concept builds on the one before it, so the order matters more than the platform you solve them on. Every challenge here is a real interview question, appears on every major judge, and can be solved in under 30 lines in any language.

For each challenge you get one sentence on what it asks, one on what it teaches, and the name of the pattern it belongs to. A pattern is a reusable approach that solves a whole family of problems, and naming it is how you recognize the next problem of the same kind. There are no full solutions on this page, because the point is to write them yourself.

Strings

Reverse a string: given a string, return it with the characters in the opposite order. It teaches indexing from both ends and the difference between a string and a character array. Pattern: Two Pointers.

Palindrome check: decide whether a string reads the same forward and backward, ignoring case and non-letter characters. It teaches input cleaning before the main logic. Pattern: Two Pointers.

Valid anagram: decide whether two strings contain the same letters with the same counts. It teaches counting characters in a table instead of sorting. Pattern: Hash Map counting.

Arrays

Two sum: find two numbers in an array that add to a target and return their positions. It teaches trading memory for time, since a map lookup replaces a second loop. Pattern: Hash Map.

Maximum subarray: find the contiguous run of numbers with the largest sum. It teaches keeping a running best while scanning once, which is the idea behind many dynamic programming solutions. Pattern: Kadane's algorithm.

Move zeroes: move every zero to the end of an array while keeping the other numbers in order, without making a new array. It teaches in-place writes with a slow index and a fast index. Pattern: Two Pointers.

Hash maps

First non-repeating character: return the first character in a string that appears exactly once. It teaches the two-pass approach: count everything, then scan for the first count of one. Pattern: Hash Map counting.

Group anagrams: group a list of words so that words with the same letters end up together. It teaches choosing a key, here the sorted word, so that equal groups map to one entry. Pattern: Hash Map with a computed key.

Math

FizzBuzz: print the numbers from 1 to n, replacing multiples of 3 with Fizz, multiples of 5 with Buzz, and multiples of both with FizzBuzz. It teaches the order of conditions, since the "both" case must be tested first. Pattern: none, plain control flow.

Prime check: decide whether a number is prime by testing divisors. It teaches stopping at the square root, which cuts a million checks to a thousand for a number near one million. Pattern: Math.

Recursion

Factorial: compute n multiplied by every smaller positive integer. It teaches the shape of every recursive function: a base case and a smaller call. Pattern: Recursion.

Fibonacci: return the nth number in the sequence where each number is the sum of the two before it. It teaches why plain recursion repeats work, and it is the usual first example of memoization, which means saving each result so it is computed once. Pattern: Recursion, then Dynamic Programming.

Stacks

Valid parentheses: decide whether every opening bracket in a string is closed by the matching bracket in the correct order. It teaches the stack, a list where the last item added is the first removed, and it is the standard first stack problem. Pattern: Stack.

Linked lists

Reverse a linked list: given the head of a singly linked list, reverse the direction of every pointer and return the new head. It teaches holding three references at once, previous, current, and next, so that no node is lost. Pattern: In-place Reversal of a Linked List.

Two pointers

Remove duplicates from a sorted array: remove repeated values in place and return the count of unique values. It teaches the slow-and-fast index pattern in its cleanest form, and it prepares you for the harder Two Pointers questions. Pattern: Two Pointers.

Once these fifteen are comfortable, the natural next pattern is Sliding Window, which handles questions about a range of fixed or variable size inside an array. It is introduced in What is Sliding Window coding pattern?.

How to work through them

Time box each challenge to 25 minutes. If you have no working idea by the end, read a hint, not a solution, and try again the next day. Before you write the function, write three tests: the example from the problem, an empty input, and one input that you expect to break a careless version.

When your tests pass, compare your code with one known solution and note every difference. The comparison is where the learning happens, because it shows you the shorter or safer way to write the same idea. Then say the pattern name out loud, so that the next problem of that type is recognized rather than solved again.

Where to solve them

All fifteen challenges exist on LeetCode, HackerRank, and Codewars, and a free account on any one of them is enough for this list. HackerRank has guided tracks and LeetCode has the larger problem set, and the difference for a beginner is explained in Which is better for beginners, LeetCode or HackerRank?. The wider comparison of coding practice websites is in Which coding platform is best?. If you work in JavaScript, What Javascript coding challenges are perfect for beginners? lists language-specific versions of several problems above.

How to Prepare

  • Do the list in order and do not skip the easy ones. FizzBuzz and factorial take five minutes each, and they confirm that your setup, your tests, and your habits work before the harder problems arrive.
  • Learn the data structures behind the challenges. Hash maps, stacks, and linked lists each appear above, and Grokking Data Structures for Coding Interviews teaches how each one works before you use it.
  • Move to patterns once the fifteen are done. Grokking the Coding Interview organizes more than 300 problems by pattern, starting with the Two Pointers and Sliding Window questions that follow this list.
  • Repeat, do not collect. Solving each challenge twice, a week apart, is worth more than solving thirty new ones once.
TAGS
Coding Interview
CONTRIBUTOR
Arslan Ahmad
Arslan Ahmad
ex-FAANG engineering manager and author or Grokking series.

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