Developers should know the top ten programming algorithms for acing coding interviews

Aspiring developers and software engineers have the basic knowledge of programming languages such as Python, R, Javascript, and much more available in the tech-driven world. They may have started making preparations for several job and coding interviews that require sufficient knowledge of programming algorithms. It is necessary to know programming algorithms for coding interviews to receive lucrative offer letters from reputed companies across the world.  Thus, let's explore some of the top programming algorithms to ace coding interviews smartly.

Top ten programmable algorithms for coding interviews

Binary Search Algorithm

A binary search algorithm is one of the top programmable algorithms for coding interviews and is known for a fast search algorithm with run-time complexity of log n. This programming algorithm usually works on the principle of divide and conquer with proper data collection.

Sort Algorithm

Sort algorithm is also a popular programming algorithm in the developer community with different types such as bubble sort, insertion sort, selection sort, merge sort, quicksort, and heapsort. Developers use this algorithm to rearrange a long list of elements depending on the comparison operator on different elements. There are numerical, lexicographical, and ascending-descending orders.

Dynamic Programming Algorithm

Dynamic programming algorithm is an essential programming algorithm to ace coding interviews in the future. It is known as an optimization over plain recursion. There are multiple algorithms that use dynamic programming such as recurrent solutions to lattice models for protein-DNA, backward induction as a solution method. This programming algorithm is known for its technique to break the problems into sub-problems and save the result.

String Matching and Parsing

String matching and parsing are some of the top programming algorithms for developers in the computer science field. This programming algorithm helps in performing time-efficient tasks in different domains. It is useful in the case of searching with two types of algorithms such as exact string matching algorithms and approximate string matching algorithms.

Bellman-Ford algorithm

Developers should know about the Bellman-Ford algorithm for acing coding interviews that work for graphs. It is a part of dynamic programming that starts with a starting vertex and calculates the distance of different vertices with the bottom-up approach to find the shortest distance to every vertex.

Dijkstra's Algorithm

Dijkstra's algorithm is a well-known programmable algorithm to prepare for coding interviews. It enables developers to seek the shortest path between two vertices with a greedy approach. Developers can implement this programmable algorithm in multiple programming languages such as C++, Python, Java, C, and many more.

Backtracking Algorithm

The backtracking algorithm is one of the top programmable algorithms for coding interviews that includes solving problems recursively to build a solution incrementally. There are multiple examples of backtracking algorithms such as puzzles, crosswords, Sudoku, and many more.

Depth First Search Algorithm

The depth-first search algorithm is known for traversing as well as searching tree or graph data structure on a programming language. There are two types of complex analysis in this programmable algorithm— time complexity and space complexity.

Lee Algorithm

Developers should know about Lee's algorithm before sitting for a coding interview in the nearby future. It is known as the one and only solution for maze routing problems for providing optimal solutions. It requires large memory for dense layout and is a breadth-first programming algorithm for using queues to store multiple steps.

Huffman Coding Compression Algorithm

Hoffman coding compression algorithm is also known as a lossless data compression algorithm or Huffman encoding. David Huffman developed this programming algorithm for using it for data compression and the approach behind file compression without losing any important and confidential data.