Howto

💡 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

5 Best Ways to Find k Longest Words in a Given List in Python 💡 Problem Formulation: We often encounter scenarios in programming where we need to filter data based on certain criteria. Specifically, finding the k longest words from a list is a common task that can be implemented in various efficient ways using … 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: 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: 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: Suppose you have a NumPy array and you want to extract elements that fall within a specific numeric range. For instance, given an array arr = np.array([0, 5, 10, 15, 20]), you need to find elements between 10 and 20. The desired output would be an array: [10, 15]. Method 1: Boolean … 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: 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: 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

💡 Problem Formulation: Finding all distinct triplets in a list that add up to a specific sum is a common algorithmic challenge. It’s about identifying three numbers from a list whose combined total equals the target sum. For instance, given the list [1, 2, 3, 4, 5] and the sum 9, the desired output would … 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: Imagine you have a list of numbers expected to contain a range of consecutive integers, but some elements are missing. Your goal is to identify those missing elements. For example, given the list [1, 2, 4, 6, 7], the desired output would be the list [3, 5], which contains the missing elements … Read more