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Here’s a List of Top Data Structures and Algorithms

Here’s a List of Top Data Structures and Algorithms

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Do you know about the top data structures and algorithms (DSA)? Be it a junior or senior programmer, you must stay up to date with the current market demands. When you master the art of DSA, you add value to the company by giving an edge to organizational problem-solving. In this article at DEV, Lulia explores 30 top data structures and algorithms.

Top Data Structures and Algorithms

Among the top data structures and algorithms, arrays, linked lists, stacks, queues, maps and hash tables, graphs, trees, etc. are popular. The trendy ones are binary trees, self-balancing trees, heaps, tries, segment trees, Fenwick trees, disjoint set union, and minimum spanning trees.

In the list of algorithms, you would find divide and conquer, sorting algorithms, searching algorithms, sieve of Eratosthenes, and Knuth-Morris-Pratt algorithm, Greedy I and II, and dynamic programming I, II, and III. Convex hull, graph traversals, Floyd-Warshall/Roy-Floyd algorithm, Dijkstra’s & Bellman-Ford algorithm, and topological sorting are prevalent, too.

What’s It All About?

The author has talked about thirty data structures and algorithms that programmers will find useful in their daily problem-solving. The knowledge can also give you an edge over other candidates when you go for an interview.

It is a precise list of data structures and algorithms that you might need to glance through to impress your interviewers. Complete with a definition for each concept, you learn the applicability based on the example provided. All data structures and algorithms have unique properties. For instance, among data structures, an array is a ‘continuous block of memory’ while linked lists are not. Similarly, the divide and conquer (DAC) algorithm can be used for parallel programming, but sorting algorithms reorganize provided elements.

A thorough understanding can create a strong foundation for your programming career. As you go up the corporate ladder, you will be able to further build on it. Since data is the new oil now, learning about data structures and algorithms can widen your work scope.

To view the original article in full, click on the following link: https://dev.to/iuliagroza/complete-introduction-to-the-30-most-essential-data-structures-algorithms-43kd

The post Here’s a List of Top Data Structures and Algorithms appeared first on AITS CAI’s Accelerating IT Success.

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