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Python Question 70:
Remove Duplicates from Sorted Array
Video 197: In this video, we are going to remove duplicates from Sorted Array.
Given an sorted integer array nums, remove the duplicates in-place such that each unique element appears only once. The relative order of the elements should be kept the same. Then return the number of unique elements in nums.
In-place means, we should perform any operation or transformation directly on the given data structure without requiring additional space
In this video, we are going to discuss two different approaches to get the required data
*** Approach 1: In-place approach with additional set() data type ***
This approach utilizes a set to keep track of unique elements encountered in the array. It iterates through the array, adding each element to the set only if it's not already present. Then, it updates the array with the unique elements. This approach ensures that only unique elements are retained in the array while preserving the relative order of elements.
*** Approach 2: In-place with no additional array stored ***
In this approach, duplicates are removed directly within the given array without using additional data structures. It utilizes two pointers - one pointer (result) to track the position where unique elements are to be stored, and another pointer (j) to iterate through the array. Whenever a new unique element is encountered, it's stored at the position indicated by the result pointer, and the result pointer is incremented. This approach achieves the same result as the first approach but without using extra memory for storing a set.
Each approach provides a different perspective on solving the problem, catering to different preferences and constraints in terms of memory usage and computational efficiency.
For a comprehensive understanding and practical demonstration, be sure to watch the entire video. Happy coding!
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#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 #tamil #tamilpython #tamilinterview #tamilinterviewlatest #PythonInterviewQuestions #PythonInterviewQuestionsAndAnswers #ImportantPythonInterviewQuestions #PrepareForPythonJobs #PythonJobInterviewPreparation #TopPythonInterviewQuestions #CommonPythonInterviewQuestions #growwithdata
Remove Duplicates from Sorted Array
Video 197: In this video, we are going to remove duplicates from Sorted Array.
Given an sorted integer array nums, remove the duplicates in-place such that each unique element appears only once. The relative order of the elements should be kept the same. Then return the number of unique elements in nums.
In-place means, we should perform any operation or transformation directly on the given data structure without requiring additional space
In this video, we are going to discuss two different approaches to get the required data
*** Approach 1: In-place approach with additional set() data type ***
This approach utilizes a set to keep track of unique elements encountered in the array. It iterates through the array, adding each element to the set only if it's not already present. Then, it updates the array with the unique elements. This approach ensures that only unique elements are retained in the array while preserving the relative order of elements.
*** Approach 2: In-place with no additional array stored ***
In this approach, duplicates are removed directly within the given array without using additional data structures. It utilizes two pointers - one pointer (result) to track the position where unique elements are to be stored, and another pointer (j) to iterate through the array. Whenever a new unique element is encountered, it's stored at the position indicated by the result pointer, and the result pointer is incremented. This approach achieves the same result as the first approach but without using extra memory for storing a set.
Each approach provides a different perspective on solving the problem, catering to different preferences and constraints in terms of memory usage and computational efficiency.
For a comprehensive understanding and practical demonstration, be sure to watch the entire video. Happy coding!
Follow me on,
#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 #tamil #tamilpython #tamilinterview #tamilinterviewlatest #PythonInterviewQuestions #PythonInterviewQuestionsAndAnswers #ImportantPythonInterviewQuestions #PrepareForPythonJobs #PythonJobInterviewPreparation #TopPythonInterviewQuestions #CommonPythonInterviewQuestions #growwithdata