A new full-length tutorial from freeCodeCamp.org breaks down the Sliding Window algorithm, a critical pattern for coding interviews. Created by Alvin Zablan, the course walks through seven key problems that demonstrate how to efficiently solve array and string challenges.
The Sliding Window technique is used to reduce time complexity in problems involving contiguous subarrays or substrings. Instead of nested loops, it maintains a window that slides over the data, updating the result in constant or linear time.
What the course covers:
- Max Subarray Sum of Size K – Find the maximum sum of any contiguous subarray of length K.
- Max Subarray Product of Size K – Similar to sum but with product.
- Subarray Target Sum of Size K – Check if any subarray of length K sums to a target.
- Has Substring Anagram – Detect if any substring of a string is an anagram of a given pattern.
- Count Substring Anagrams – Count how many substrings are anagrams of a pattern.
- Find Subarray Sum – Locate a subarray that sums to a target (variable window size).
- Longest Subarray Sum – Find the longest subarray whose sum is at most K.
Each problem is explained step-by-step with code examples, making this course ideal for beginners and those brushing up on interview skills.
"The sliding window is one of the most versatile patterns in coding interviews," says Zablan. "Master it, and you'll be ready for many of the most common questions."
The tutorial already has over 21,000 views since its release eight days ago, reflecting high demand for structured algorithm training.
Whether you're preparing for FAANG interviews or just want to write more efficient code, this course offers a practical, hands-on approach to a fundamental algorithm.