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๐ Capgemini India to Hire 40,000โ45,000 Employees in 2025! | Ajay Singh Rawat | 74 comments
๐ Capgemini India to Hire 40,000โ45,000 Employees in 2025!
At a time when the tech industry is witnessing cautious hiring trends, Capgemini India is making bold moves. CEO Ashwin Yardi has announced plans to hire 40,000 to 45,000 professionals this yearโฆ
At a time when the tech industry is witnessing cautious hiring trends, Capgemini India is making bold moves. CEO Ashwin Yardi has announced plans to hire 40,000 to 45,000 professionals this yearโฆ
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Date: 6 August time11.30 AM โ 1.30 PM
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๐ DSA Roadmap (Data Structures & Algorithms) ๐ฅ
โ 1. Basics of Programming
๐น Variables, Data Types, Loops, Conditions
๐น Functions & Recursion
๐น Time & Space Complexity (Big O Notation)
โ 2. Arrays & Strings
๐น Searching & Sorting (Binary Search, Bubble, Merge, Quick Sort)
๐น Two-pointer Technique
๐น Sliding Window
๐น Prefix Sum, Kadaneโs Algorithm
โ 3. Linked Lists
๐น Singly & Doubly Linked List
๐น Reversing, Detecting Cycles (Floyd's Algorithm)
๐น Merge Two Sorted Lists
โ 4. Stacks & Queues
๐น Using Arrays or Linked Lists
๐น Applications: Valid Parentheses, Next Greater Element
๐น Queue, Deque, Circular Queue
โ 5. Trees
๐น Binary Trees, Binary Search Trees
๐น Tree Traversals (Inorder, Preorder, Postorder)
๐น Lowest Common Ancestor (LCA), Diameter
๐น Heaps & Priority Queues
โ 6. Hashing & Maps
๐น HashMap, HashSet
๐น Frequency Count, Group Anagrams
๐น Implementing custom hash
โ 7. Recursion & Backtracking
๐น Subsets, Permutations
๐น N-Queens, Sudoku Solver
๐น Rat in a Maze
โ 8. Dynamic Programming (DP)
๐น Fibonacci, 0/1 Knapsack, Longest Common Subsequence
๐น Tabulation vs Memoization
๐น DP on Strings, Grids, Subsets
โ 9. Graphs
๐น Representation: Adjacency List/Matrix
๐น BFS, DFS
๐น Dijkstra, Primโs, Kruskalโs Algorithms
๐น Topological Sort, Cycle Detection
โ 10. Advanced Topics
๐น Tries
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๐น Disjoint Set Union (DSU)
๐น Bit Manipulation
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โ 1. Basics of Programming
๐น Variables, Data Types, Loops, Conditions
๐น Functions & Recursion
๐น Time & Space Complexity (Big O Notation)
โ 2. Arrays & Strings
๐น Searching & Sorting (Binary Search, Bubble, Merge, Quick Sort)
๐น Two-pointer Technique
๐น Sliding Window
๐น Prefix Sum, Kadaneโs Algorithm
โ 3. Linked Lists
๐น Singly & Doubly Linked List
๐น Reversing, Detecting Cycles (Floyd's Algorithm)
๐น Merge Two Sorted Lists
โ 4. Stacks & Queues
๐น Using Arrays or Linked Lists
๐น Applications: Valid Parentheses, Next Greater Element
๐น Queue, Deque, Circular Queue
โ 5. Trees
๐น Binary Trees, Binary Search Trees
๐น Tree Traversals (Inorder, Preorder, Postorder)
๐น Lowest Common Ancestor (LCA), Diameter
๐น Heaps & Priority Queues
โ 6. Hashing & Maps
๐น HashMap, HashSet
๐น Frequency Count, Group Anagrams
๐น Implementing custom hash
โ 7. Recursion & Backtracking
๐น Subsets, Permutations
๐น N-Queens, Sudoku Solver
๐น Rat in a Maze
โ 8. Dynamic Programming (DP)
๐น Fibonacci, 0/1 Knapsack, Longest Common Subsequence
๐น Tabulation vs Memoization
๐น DP on Strings, Grids, Subsets
โ 9. Graphs
๐น Representation: Adjacency List/Matrix
๐น BFS, DFS
๐น Dijkstra, Primโs, Kruskalโs Algorithms
๐น Topological Sort, Cycle Detection
โ 10. Advanced Topics
๐น Tries
๐น Segment Tree, Fenwick Tree
๐น Disjoint Set Union (DSU)
๐น Bit Manipulation
๐ป Practice on: LeetCode, Codeforces, HackerRank, GFG
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