What is Kruskal’s Algorithm? How to Use it in Python?
Kruskal’s Algorithm is a popular algorithm in graph theory used to find the minimum spanning tree (MST) of a connected, weighted graph. It was developed by Joseph Kruskal in 1956 and is one of the most commonly used algorithms in computer science. In this article, we will discuss Kruskal’s Algorithm in detail, its working, and […]
What is Dijkstra’s Algorithm ? How to use it in Python?
Dijkstra’s algorithm is a popular algorithm for finding the shortest path between two nodes in a weighted graph. It is commonly used in routing protocols and network management systems. In this article, we’ll explore what Dijkstra’s algorithm is and how to use it in Python. What is Dijkstra’s Algorithm? Dijkstra’s algorithm is a greedy algorithm […]
What is Depth-First Search (DFS)? How to Use It in Python?
Depth-First Search (DFS) is a graph traversal algorithm that traverses the entire depth of a graph before backtracking to the next branch of the graph. It is a recursive algorithm that can be used to solve a variety of problems related to graph traversal. In this article, we will discuss the basics of DFS, its […]
What is Breadth-First Search (BFS) Algorithm? How to use it in Python?
Searching is one of the fundamental problems in the field of computer science. A lot of algorithms have been developed to solve various types of searching problems. One of the popular algorithms for searching is the Breadth-First Search (BFS) algorithm. In this article, we will explore the concept of the Breadth-First Search algorithm, its working […]
What is Divide and Conquer Algorithm? How to Use it in Python?
Divide and Conquer is a powerful algorithmic technique used in computer science, particularly in solving complex problems. This approach involves breaking down a problem into smaller sub-problems, solving each of them individually, and then combining the solutions to form the final answer. In this article, we will explore the concept of Divide and Conquer algorithm […]
What is backtracking? how to use it in python?
Backtracking is a general algorithmic technique that is used to solve problems by searching through all possible solutions. It works by incrementally building candidates to the solutions, and when it determines that a candidate is not a valid solution, it backtracks to the previous step and tries again. In order to use backtracking in Python, […]
What is Dynamic Programming? How to Use It in Python?
Dynamic programming is a technique for solving complex problems by breaking them down into simpler subproblems and solving each subproblem only once, storing the solution to each subproblem in a table and using it to solve larger problems. In this article, we’ll take a closer look at dynamic programming, its benefits, and how to use […]
what are greedy Algorithms? how to use it in python?
1. Introduction Greedy algorithms are a type of algorithmic paradigm that makes the locally optimal choice at each stage with the hope of finding a global optimum. In simpler terms, a greedy algorithm chooses the best option at each step without considering the overall future consequences. In this article, we’ll explore what greedy algorithms are, […]
what are Recursive Algorithms? how to use it in python?
1. Introduction Recursive algorithms are a type of algorithm that calls itself with a smaller input. They are commonly used in programming to solve complex problems that can be broken down into smaller sub-problems. In this article, we will discuss what recursive algorithms are, how they work, and how to use them in Python. 2. […]
What is Heap Sort Algorithm? How to Use it in Python?
If you’re looking for an efficient algorithm to sort data structures, look no further than heap sort. Heap sort is a comparison-based sorting algorithm that creates a binary heap from an array and repeatedly extracts the largest (or smallest) element and rebuilds the heap until the array is sorted. In this article, we’ll discuss heap […]