Howto

💡 Problem Formulation: The task is to find the maximal network rank, which is defined as the total number of roads connected to the two most interconnected cities. Given a number n representing cities labeled from 1 to n, and an array roads where roads[i] = [ai, bi] represents a road between cities ai and … Read more

💡 Problem Formulation: When working with data visualization in Python, it’s common to encounter the need to display swarm plots grouped by a categorical variable. This technique is particularly useful for showing distributions of data across different categories. Our input will be a pandas DataFrame with one or more categorical columns and one numerical column; … Read more

💡 Problem Formulation: We need to construct a non-negative integer matrix where the sum of the elements in each row and column corresponds to specific input arrays, ‘rowSum’ and ‘colSum’, respectively. Given ‘rowSum = [x, y, z]’ and ‘colSum = [a, b, c]’, we aim to output a matrix such that its rows sum up … Read more

💡 Problem Formulation: Given a 2D matrix, the aim is to write a program that can traverse the matrix, multiply elements along the path, and identify the maximum non-negative product possible. Let’s consider the matrix [[1, -2, 3], [4, -5, -6], [7, -8, 9]]. The task is to find a path from the top-left corner … Read more

💡 Problem Formulation: Imagine you’ve been given a string and asked to split it into as many unique substrings as possible. For instance, if your input is “ababa”, the desired output would be [‘a’, ‘b’, ‘ab’, ‘a’], since they are unique and this combination is the maximal number of substrings that can be achieved. In … Read more

💡 Problem Formulation: We often encounter scenarios in programming and algorithmic challenges where we need to adjust a set of integers so that their sum becomes divisible by a given number p. For example, given an array [3, 1, 4, 1] and a divisor p = 5, we want to find the minimum change required … Read more

💡 Problem Formulation: We are tasked with finding the largest possible sum of elements when any permutation of a given list is possible. For example, given the list [3, 5, 1, 2], the permutations will range from [1, 2, 3, 5] to [5, 3, 2, 1], but our goal is to identify which permutation, when … Read more

💡 Problem Formulation: Given a set of points on a plane, the challenge is to find the minimum cost to connect all points with edges such that any two points will be reachable from each other (directly or indirectly), and the total edge cost is minimized. This is an instance of the Minimum Spanning Tree … Read more

💡 Problem Formulation: In a social network, friends can often become unhappy due to various reasons. For instance, if a favorite activity is closed or preferred mutual friends move away. Assume we have information about each friend’s preferences and connections. The goal is to count the number of unhappy friends using Python, given a list … Read more

💡 Problem Formulation: You are given a string and an associated cost array, where each element corresponds to the deletion cost of a character in the string. The challenge is to delete characters as necessary in order to ensure there are no consecutive repeating characters with the minimum total cost. For example, given the input … Read more

💡 Problem Formulation: When working with Python’s pandas library, a common task is to create count plots to visually represent the frequency of categorical data. Seaborn, a statistical plotting library built on Matplotlib, simplifies and enhances the creation and styling of count plots. This article will discuss how to utilize pandas and Seaborn to create … Read more

💡 Problem Formulation: When working with data visualization in Python, it’s common to depict point estimates with error bars to indicate variability. However, customizing the appearance of these plots, such as setting caps on error bars, can be unclear. This article demonstrates how to draw point plots with error bar caps using the Seaborn library, … Read more