#BinarySearch
Binary search is an efficient algorithm used to find a target value in a sorted array. It works by repeatedly dividing the search range in half.
The algorithm starts by comparing the target with the middle element of the array:
• If they match, the search is complete.
• If the target is smaller, the search continues in the left half.
• If the target is larger, the search continues in the right half.
This process repeats until the value is found or the search range becomes empty.
Key characteristics:
• Requires a sorted collection
• Time complexity: O(log n)
• Space complexity: O(1) for iterative version
• Much faster than linear search for large datasets
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90% of Programmers Don’t Understand This Tree 😳 | Binary Search Tree Explained #datastructure #codingreels #codingtips #programming #codinglife
Know about the views of a binary tree..
Stay tuned on how to find each of these views in upcoming videos
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Tree traversals, but finally easy to see. ⚡️
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Left view of binary tree
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25 algorithms every programmer should know:
Binary Search
Quick Sort
Merge Sort
Depth-First Search (DFS)
Breadth-First Search (BFS)
Dijkstra’s Algorithm
A* Search Algorithm
Dynamic Programming
Fibonacci Sequence
Longest Common Subsequence
Binary Tree Traversals (Inorder, Preorder, Postorder)
Heap Sort
Knapsack Problem
Floyd-Warshall Algorithm
Union Find
Topological Sort
Kruskal’s Algorithm
Prim’s Algorithm
Bellman-Ford Algorithm
Rabin-Karp Algorithm
Huffman Coding Compression
Quickselect
Kadane’s Algorithm
Flood Fill Algorithm
Lee Algorithm
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#software #javascript #datastructuresandalgorithms
How Binary Search Finds Data
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Binary Search loves the order arrays😂 #programming #python #algorithms #dsa #learntocode
Traversals of a binary tree . High level overview.
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If you want to learn Python from scratch and become job-ready, this roadmap will guide you step by step. Start with basics like syntax, variables, and functions, then move to advanced topics like OOP, data structures, and automation.
After that, explore data science libraries and web frameworks to build real projects and gain practical experience.
Stay consistent, practise daily, and focus on building projects because that’s what really matters for getting opportunities. Save this roadmap and start your Python journey today.
Comment “🙌” to learn for free. 🚀
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Bad data doesn’t lie - Python just exposes it. 🔍
Day 8 of learning Python from scratch, documenting every step until I land a junior data engineer job.
Today I built a quality flag checker. Feed it a row of data — it tells you what’s wrong. Negative age? Flagged. Country code too long? Flagged. Simple logic, real use case.
This is literally what data pipelines do at scale.
I’m on day 8.
Follow along → Zero to Hired series 👇#learnpython #datascience #dataentry #learntocode #dataengineering2027
