Time complexity is one of the most important concepts in DSA. It tells us how the running time of an algorithm changes when the input size gets bigger. We don’t use exact seconds here — we care about the growth rate of the work done as input becomes large (like 10 → 100 → 10,000 […]

In the previous post we understood what is an algorithm. Now let’s go one step deeper: How does an algorithm actually look? What are its essential characteristics? And how do real algorithms appear in practice? Key takeaway: Every good algorithm must be correct, finite, unambiguous, and efficient — these are called the properties of an […]

If you’re starting your journey in programming or preparing for technical interviews, Data Structures and Algorithms (DSA) is the most important foundation you will ever build. DSA teaches you how to think efficiently, solve problems systematically, and write code that performs well even with large amounts of data. Quick fact: Almost every FAANG / top-tier […]

Data Structures and Algorithms (DSA) form the backbone of efficient software development, technical interviews at top companies, and competitive programming. This structured roadmap takes you from absolute basics to advanced topics used in real-world systems and high-level contests. Target audience: College students • Job seekers • Competitive programmers • Self-learners Estimated time: 4–9 months (depending […]

Learn conditional, joint, and marginal probability with formulas, properties, and practice questions in this guide.

Practice questions on independent, dependent, and mutually exclusive events in probability with detailed solutions.