🧠 Data Structures & Algorithms

DSA is the backbone of efficient problem-solving. From search engines and databases to routing systems and games, it powers real-world applications. Mastering DSA sharpens your logic, boosts interview success, and helps build scalable software.

📌 Prerequisites

  • Basic programming: loops, conditions, functions
  • Comfort with any language (C++, Java, or JavaScript)
  • Logical thinking & debugging skills

💻 Recommended Languages

C++, Java, or JavaScript — use what you're most comfortable with. Concepts remain the same across languages, and most examples here use JavaScript and C++.

📚 Explore DSA Topics

Array

Understand linear data structures and master array manipulation techniques.

Hash Map

Use key-value mappings for fast lookups, counting, and frequency-based problems.

Foundation

Start here with time complexity, space complexity, and basic coding concepts.

Math

Problems related to Math.

String

Work with characters, substrings, and string algorithms efficiently.

Hash Set

Use sets to track unique values and enable fast membership checks.

Two Pointer

Optimize problems using two simultaneous iterators or boundaries.

Sorting

Master algorithms like MergeSort, QuickSort, and learn how to sort efficiently.

Sliding Window

Solve subarray and substring problems in linear time with a moving window.

Frequency Count

Problems related to Frequency Count.