Array Algorithms

Which Array Algorithms Appear in Interviews Often in 2025?

Array algorithms continue to be a cornerstone of coding interviews, especially as we approach 2025. Here, we explore some of the most commonly asked array-related problems that you should master to succeed in interviews. Whether you're aiming for a position in a tech giant or a startup, being well-versed in these algorithms can give you a significant edge.

Best Programming Algorithms Book to Buy in 2025


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Grokking Algorithms, Second Edition
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50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
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1. Two Sum Problem

The Two Sum problem is a classic example where you are given an array of integers and a target sum. The task is to find two integers in the array that sum up to the given target. This is a popular problem due to its practical applications in scenarios where pairing data points are essential.

2. Merge Intervals

Often seen in interviews, the Merge Intervals problem focuses on merging overlapping intervals within an array. It's particularly crucial in applications involving scheduling and timeline management.

3. Finding Duplicates

Detecting duplicates in an array is a frequent problem especially as data integrity and consistency are paramount in databases and data management systems.

4. Maximum Subarray

The Maximum Subarray problem requires finding the subarray with the maximum sum within a given array. It's a vital question related to financial data analysis and stock market predictions.

5. Rotate Array

In the Rotate Array problem, you need to rotate the array to the right by k steps. This problem tests your understanding of array manipulations and is often included to evaluate problem-solving efficiency.

6. Longest Consecutive Sequence

This problem challenges you to find the length of the longest consecutive elements sequence within an unsorted integer array. Mastery of this problem demonstrates proficiency in managing and analyzing sequential data.

Additional Resources

Expand your knowledge and skills with these helpful resources:

By focusing on these key array algorithms, you are more likely to shine in your upcoming coding interviews. Practice diligently and make use of additional resources to enhance your understanding and technical prowess.

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