🔰Complete DSA Roadmap🔰

|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank

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*Tech News ❗️❗️*

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➡️Amazon agrees to Purchase some assets of MX Player in $100 million deal.

➡️Nvidia overtakes Apple as No. 2 most valuable company.

➡️Humane is reportedly trying to sell itself to HP for $1 billion.

➡️RBI sets up panel to track online payment frauds.

➡️Salesforce to open London AI centre as part of $4bn UK investment.

➡️SAP to acquire Israel-based digital adoption platform WalkMe for $1.5bn.

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Timing is everything!
Let's discuss the best timeline that works for both of us!

Here's how I would frame tips or advice for candidates on answering the interview question "When can you start?"

⚠ Tips for Framing Your Answer!

📌 Show Enthusiasm:
◾ Express excitement about the role.
📎Example: “I’m really excited about the opportunity to join your team and contribute to the company.”

📌Assess Your Current Commitments:
◾Consider any current job or personal commitments.
◾Be honest about any notice period or obligations.
📎Example: “I have a two-week notice period with my current employer, so I would be available to start two weeks after an offer is made.”

📌Be Flexible:
◾Demonstrate willingness to accommodate the employer's timeline.
📎Example: “I can be flexible with my start date to meet the team’s needs.”
Ask About Their Timeline:

📌Show interest in understanding their urgency.
📎Example: “What timeline are you hoping for? I’d like to align with your needs as best as I can.”

📌Consider Immediate Availability:
◾If you’re available to start immediately, let them know.
📎Example: “I’m available to start as soon as possible, even immediately if needed.”

📌Highlight Preparation Time:
◾Mention if you need time to relocate or make any other preparations.
📎Example: “I would need about a week to relocate and settle in, but I can start working remotely immediately if that helps.”

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