Python : Return Missing Balanced Numbers

Video 90: In this video, we return missing balanced numbers. Given an array with n elements, return a dictionary with the key as the element and the value as the count of elements needed to balance the given array. A balanced array would be an array in which each element appears the same number of times. Examples elements: ["a", "b", "abc", "c", "a"] output: {"b":1, "abc":1, "c":1} elements: [1,3,4,2,1,4,1] output: {2:2, 3:2, 4:1} elements: [4,5,11,5,6,11] output: {4:1,6:1} In this video, we'll be exploring a Python function that takes an array of elements and returns a dictionary, indicating the count of each element needed to balance the array. The function starts by initializing an empty dictionary, element_count, to keep track of the occurrences of each element in the input array. We then iterate through the array, updating the count of each element in the element_count dictionary. If an element is encountered for the first time, it is added to the dictionary with a count of 1; otherwise, the count is incremented. Next, we find the target count by identifying the maximum count among all elements in the array. Using this target count, the function constructs a result dictionary, result, where each element is associated with the count needed to balance the array. Elements that already have the correct count are excluded from this dictionary. Finally, we filter the result dictionary to remove elements that do not require any additional occurrences for balance. For an in-depth understanding of these Python code, please refer to the comprehensive explanatory video. code: https://github.com/jeganpillai/python_reference/blob/main/p0040_return_missing_balanced_numbers.py Follow me on, Website : https://growwithdata.co/ YouTube : https://www.youtube.com/@growwithdata TikTok : https://www.tiktok.com/@growwithdata LinkedIn : https://www.linkedin.com/company/growwithdata/ Facebook : https://www.facebook.com/growwithdata.co/ twitter : https://twitter.com/growwithdata_co WhatsApp : https://whatsapp.com/channel/0029VaF8pkb77qVNfbp5pA0S Instagram : https://www.instagram.com/growwithdata.co/ #recursive #countingalgorithm #list #looping #listmanipulation #uniquesubstring #longestsubstring #slicing #lineartimecomplexity #python #pythonquestions #pythontest #pythonprogramming #pythontutorial #python3 #pythonforbeginners #interviewquestions #interview #dataengineers #deinterview #pythoninterview #interviewquestions #leetcode #placementpreparation #meta #google #facebook #apple #netflix #amazon #google #faang #maanga #dataengineers #alphanumeric #nonalphanumeric #growwithdata #set #split #remove #pythonfunctions