
Shadab Khan
@imshadab01
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Passionate MCA final year student with a knack for Python development π. Aspiring Data Scientist eager to unravel insights from data π. Striving to merge the
Lucknow
Joined March 2024
RT @riti2409: List of all the companies that are hiring for 100% remote work. Sharing them in this thread π§΅.(Part-7).(1/n).
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Day 7 of #DSAChallenge:. π Introduction to Recursion:. Learned the fundamentals of recursive functions. Discussed base cases to prevent infinite loops. Explored how complex problems can be broken into simpler subproblems. Practiced writing basic recursive algorithms.#Dsa #code
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Day 6 of #DSAChallenge:. π Deep Dive into Lists:. Slicing: Extracted sublists using start, stop, and step indices. Sorted Lists: Learned techniques for sorting lists in ascending and descending order.Rotation: Explored methods to rotate lists .#DataStructures #Algorithms #Python
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Day 5 of #DSAChallenge:. π Mathematics Functions:. -Solved assignment questions to strengthen understanding.-Applied functions to various #problemsolving scenarios. Studying Lists:. -Began exploring list #datastructures.-Covered basics of #list operations: #insertion, #deletion
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3-π Mathematics Section:. Did many Mathematical programs with both naive and efficient approaches with . Strengthened foundational math skills crucial for algorithm analysis. Reviewed concepts like logarithms, exponents, and series. #DataScientist #100daysofcode #Datastructure
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2-πRecursive Methods:.Definition: A problem-solving #technique where a function calls itself repetitively. Base Case: Critical stopping condition preventing infinite recursion. Recursive Case: Breaks down larger problems into smaller, more manageable subproblems. #Datastructure
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Day 4 of #DSAChallenge:.Studied Space Complexity.Studied Recursive analysis.Studied Mathematics . 1-Space Complexity:.Understanding space efficiency is crucial for optimizing memory usage in algorithms. Auxiliary Space:.Additional space is used by an algorithm beyond input size.
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RT @sandeep_jain: For students who are confused among SQL, NoSQL, MySQL, and PostgreSQL, in a nutshell:. - SQL is the language we use to taβ¦.
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Day 3 of #DSAChallenge:. Studied Analysis of Common Loops:.-Linear Loops.-Nested Loops.- logarithmic Loops . π Analysis of Recursion:. -Base Case: Essential to prevent infinite loops. -Recursive Case: Breaks down problems into smaller one.#AlgorithmAnalysis #DataStructures #code
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Studying DSA from @geeksforgeeks . @sandeep_jain explained every topic really nicely. Got some help from @codewithharry too in understanding the time complexity of BigO and Theta notation .#DSA #100DaysOfCode #100xDevs #developer #geek #Python #pythonprogramming .#follow #journey.
"Day 2 of #DSAChallenge: .Diving into the intricacies of algorithm complexity with:.- #BigO, #Theta, and #Omega notations.-Studied about Time complexity.-Studied about the Best,Worst and Avg case of Notations. #BigO #AlgorithmAnalysis #DataStructures #code #100DaysOfCode #DSA
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"Day 2 of #DSAChallenge: .Diving into the intricacies of algorithm complexity with:.- #BigO, #Theta, and #Omega notations.-Studied about Time complexity.-Studied about the Best,Worst and Avg case of Notations. #BigO #AlgorithmAnalysis #DataStructures #code #100DaysOfCode #DSA
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Day 1 of the #DSAChallenge: .- Started with what is #DSA.-Studied about Asymptotic notation. -Studied Analysis Of algorithms .-Got basic understanding of the Order of growth. Ready to apply these insights ahead! π‘π» #DataStructures #Algorithms #Efficiency #geeks #thunderstorm
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Embarking on a 90-days Data Structures and Algorithms challenge to sharpen my problem-solving skills! Excited to dive deep into the world of algorithms and conquer coding challenges. Join me on this journey! π»π #DSAChallenge #DataStructures #Coding #geeksforgeeks #codewithharry
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