How can you decide if a program written by you is efficient or not? This is measured by complexities. The primary motive to use DSA is to solve a problem effectively and efficiently. Here comes one of the interesting and important topics. Learn the basics of individual Data Structures.Learn about Time and Space complexities.The complete process to learn DSA from scratch can be broken into 4 parts: The first and foremost thing is dividing the total procedure into little pieces which need to be done sequentially. To explain in simpler terms, it is a set of operations performed in a step-by-step manner to execute a task. What is Algorithm?Īlgorithm is defined as a process or set of well-defined instructions that are typically used to solve a particular group of problems or perform a specific type of calculation. An efficient data structure takes minimum memory space and requires minimum time to execute the data. The main idea behind using data structures is to minimize the time and space complexities. Practice Problems on Data Structures and Algorithms (DSA)Ī data structure is defined as a particular way of storing and organizing data in our devices to use the data efficiently and effectively. Software Engineering Interview Questions. Top 10 System Design Interview Questions and Answers.Top 20 Puzzles Commonly Asked During SDE Interviews.Commonly Asked Data Structure Interview Questions.Top 10 algorithms in Interview Questions.Top 20 Dynamic Programming Interview Questions.Top 20 Hashing Technique based Interview Questions.Top 50 Dynamic Programming (DP) Problems.Top 20 Greedy Algorithms Interview Questions.Top 100 DSA Interview Questions Topic-wise.
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