Emily Rosemary Collins

💡 Problem Formulation: Given three sorted arrays, the task is to identify the common elements present in all three arrays efficiently. For example, suppose we have arrays A = [1,2,5,6], B = [2,3,5,7], and C = [2,4,5,8]. The common elements in these arrays are [2,5], which should be the return value of the solution. Method … Read more

💡 Problem Formulation: Given a list of numbers, the task is to find the pair of numbers that has the largest difference between them. The output should be a tuple containing the pair with the maximum difference, following the (min, max) order. For example, given input [2, 4, 1, 16, 7], the desired output is … Read more

💡 Problem Formulation: Fibonacci series is a sequence where each number is the sum of the two preceding ones, often starting with 0 and 1. If given a value n, the challenge is to generate the Fibonacci series up to the nth element using concise Python code involving lambda functions. For example, input 5 should … Read more

💡 Problem Formulation: Imagine you have a sorted list of integers where some numbers have gone missing within a defined range. For example, given the sorted list [1, 2, 4, 6, 7, 9] within the range of 1 to 9, your task is to identify the missing numbers, which in this case, are [3, 5, … Read more

💡 Problem Formulation: When working with dictionaries in Python, it may be necessary to determine the depth, which is the number of levels of nested dictionaries. For example, given the dictionary {‘a’: {‘b’: {‘c’: {}}}}, the depth is 3. Understanding the depth can be crucial for tasks such as data analysis or when dealing with … Read more

💡 Problem Formulation: You have a Python list of integers and you want to identify all subsequences where the numbers are in a strictly increasing order. For instance, given the input list [1, 2, 5, 3, 4], the desired output would be [[1, 2, 5], [3, 4]] since these are the groups within the list … Read more

💡 Problem Formulation: When working with lists in Python, you may encounter elements with None values. Identifying the positions of these None values is often a necessity, for instance, in data cleaning tasks where missing values need to be dealt with. Suppose you have a list [1, None, 2, None, 3], and you want to … Read more

💡 Problem Formulation: In Python, it’s a common requirement to compare two lists to find mismatched elements occupying the same positions. This article explores this challenge, providing practical methods to accomplish this task. Imagine having two lists list1 = [1, 2, 3, 4] and list2 = [1, 2, 4, 4]; we aim to identify that … Read more

💡 Problem Formulation: You want to find all keys in a dictionary that share the same value. For instance, given a dictionary {‘a’: 1, ‘b’: 1, ‘c’: 2, ‘d’: 3}, the goal is to identify ‘a’ and ‘b’ as duplicates because they both have the value 1. Method 1: Using a Default Dictionary To find … Read more

💡 Problem Formulation: The task at hand is to identify the longest continuous substring within a given string, which consists of either all letters or all digits. For instance, in the input “a123b4cde57fghij789k0”, the desired output for digits would be ‘789’, and for letters, it would be ‘fghij’, as these are the longest uninterrupted sequences … Read more

💡 Problem Formulation: When working with numerical data in Python, it’s commonplace to calculate the mean of a dataset. But what if our data is nested in multiple NumPy arrays within a list? Figuring out how to efficiently compute the mean across these arrays is essential for data analysis. Suppose we have a list of … Read more

💡 Problem Formulation: When working with tuples in Python, it’s not uncommon to encounter a need to count the number of lists they contain. This could be for data processing, validation, or analysis purposes. Let’s say we have a tuple like (‘Alice’, [1, 2, 3], ‘Bob’, [4, 5]), the desired output would be 2 since … Read more