![]() Binary Search Algorithmīinary search questions are generally on the tougher side of coding interviews. You can search for hashing questions on leetcode and solve at least 10 to 12 questions for good practice. ![]() Once you have grasped the theory part, your second focus should be on the question. In theory, you should learn how hashing works in the backend, what linear probing, coordinated probing, collision handling, and so on are. To prepare for hashing, divide it into two parts: theory and practice. It is often seen that interviewers ask at least one hashing question. ![]() Learning Hashing questions, especially hash maps, are a must for coding interviews. If you practice questions from both of these types, scoring sliding window questions becomes really easy. The other type is one in which the size constraint may vary but the maximum sum is given. Sliding window questions are usually of two types: the first type is where the size constraint of the sliding window is given and you have to tell the maximum sum. Sliding window is one of the most scoring topics because its questions are very similar and can be easily figured out if you have good practice with even a few of them. Once you have grasped the basic concepts of sorting and attempted coding questions, from insertion to merge or quick, you will automatically learn time complexity and its analysis this also helps in increasing your confidence level. Interviewers also focus on theoretical questions related to sorting, such as “What is the complexity of a merge sort in the best case?” and other similar questions. For example, interviewers can ask you to code using merge sort or quick sort. Sorting questions are often asked directly. Sorting is the most frequently asked algorithm in coding interviews. In this article, we will discuss the top 10 algorithms that you should definitely prepare for before sitting for any coding interview and wanting to crack it. However, there are some very important algorithms that you must learn for any coding interview. It is only natural that we cannot memorize all the algorithms and problem-solving questions. This is why many of us feel rather confused when we are preparing DSA questions for coding interviews.
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