Most developers need to realize the importance of data structure and algorithms as early as possible in their careers. The reason would be simple: knowledge of this subject helps us grow as better programmers and master computer science. On another side, the interviewer uses DSA to test programmers during the…

System design is an important topic for both technical interviews and real-world software development. It’s used to solve large-scale problems and is often asked about in interviews at tech companies. This blog will introduce you to the basic concepts of system design. What is System Design? System design deals with designing a system that…

In this blog, we have discussed some popular strategies for solving problems in data structures and algorithms. Mastering and applying these strategies can help you more effectively tackle problems and crack the coding interview. An Incremental approach using Single and Nested loops One common approach to problem-solving is to build a solution incrementally using a loop. …

Every solution starts with a strategy, and an algorithm is a strategy for solving the coding problem. So programmers must learn to design an efficient algorithm and translate this “algorithm” into the correct code to get the job done. However there are many coding problems available in data structures and…

Machine learning is gaining tremendous demand in the software industry, and this is not from the recruiter side only. In the upcoming placement sessions, many freshers have started targeting ML or the Data Science industry for three primary reasons: 1. Higher package 2. Smart work 3. Future stability. But the…

In the world of mathematics and algorithms, problem-solving is an art which follows well-defined steps. Such steps do not follow some strict rules and each individual can come up with their steps of solving the problem. But there are some guidelines which can help to solve systematically. In this direction…

Sometimes, designing algorithms requires a natural real-life thought process. When we observe our real-life activities, we find them filled with conditions (if and else), repetitions (loops), logical structures, optimizations, radomizations, counting, sorting, scheduling, trade-offs, and more. For example, when our flight is scheduled at a specific time, we take all…

There are a lot of variations available to dynamic programming problems. Sometimes, programmers face challenges in verifying whether the given problem is a dynamic programming problem or not. So understanding this idea is important because once we decide that the given problem can be solved using dynamic programming, it will…

Divide and conquer and dynamic programming are popular problem-solving approaches in data structures and algorithms. Both approaches share a similarity: they break problems into smaller subproblems and combine their solutions to solve the larger problem. But there are significant differences between divide and conquer and dynamic programming in several aspects: …