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Better Compression of String | Python Interview Questions | Data Engineer Interview Question | FAANG
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Video 277: In this video, we are going to decode a message
00:00 - Introduction to dataset and Question
03:20 - Approach 1: Basic Looping Logic
15:20 - Approach 2: Using WHILE Loop
25:50 - Approach 3: Using Regular Expressions
31:15 - Conclusion
We are given a string representing a compressed version of a string. The format is a character followed by its frequency. For example, "a3b1a1c2" is a compressed version of the string "aaabacc".
We seek a better compression with the following conditions:
1. Each character should appear only once in the compressed version.
2. The characters should be in alphabetical order.
3. Return the better compression of compressed.
In this video, we are going to discuss three different approaches and explained below
*** Approach 1: Basic Looping Logic ***
Iterating through the string and using a dictionary to store and sum frequencies.
*** Approach 2: Using WHILE Loop ***
A streamlined version using a while loop for better control over the parsing process.
*** Approach 3: Using Regular Expressions ***
Leveraging regex to extract character-frequency pairs and then processing them.
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
00:00 - Introduction to dataset and Question
03:20 - Approach 1: Basic Looping Logic
15:20 - Approach 2: Using WHILE Loop
25:50 - Approach 3: Using Regular Expressions
31:15 - Conclusion
We are given a string representing a compressed version of a string. The format is a character followed by its frequency. For example, "a3b1a1c2" is a compressed version of the string "aaabacc".
We seek a better compression with the following conditions:
1. Each character should appear only once in the compressed version.
2. The characters should be in alphabetical order.
3. Return the better compression of compressed.
In this video, we are going to discuss three different approaches and explained below
*** Approach 1: Basic Looping Logic ***
Iterating through the string and using a dictionary to store and sum frequencies.
*** Approach 2: Using WHILE Loop ***
A streamlined version using a while loop for better control over the parsing process.
*** Approach 3: Using Regular Expressions ***
Leveraging regex to extract character-frequency pairs and then processing them.
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
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