🗺️ Algo-Atlas: DSA Roadmap & Solutions

My journey mastering Data Structures and Algorithms, organized by topic.

📌 The Checklist

Phase 1: Foundations & Syntax

• Programming Fundamentals (Control Flow, Variables)
• Modular Coding (Functions, Classes, Objects)

Phase 2: Data Structures (The Toolkit)

• Sequential Storage (Arrays, Linked Lists, Stacks, Queues)
• Hierarchical Data (Binary Trees, BST, Heaps)
• Network Structures (Graphs, Adjacency Lists/Matrices)
• Essential Operations (Create, Read, Update, Delete)

Phase 3: Navigation & Search

• Search Techniques (Linear Scan, Binary Search)
• Graph Exploration (BFS for Layers, DFS for Paths)
• Tree Traversal Patterns (In-order, Pre-order, Post-order)

Phase 4: Order & Sorting

• Elementary Sorts (Insertion, Selection, Bubble)
• Divide & Conquer Sorts (Merge, Quick, Shell)
• Linear Time Sorts (Radix, Counting, TimSort)

Phase 5: Algorithmic Logic

• Recursive Thinking (Base Cases, Call Stack)
• Backtracking Strategies (Pruning, Path Finding)
• Dynamic Programming (Top-Down Memoization, Bottom-Up Tabulation)

Phase 6: Optimization Strategies

• Two-Pointer Methods (Converging, Fast & Slow)
• Sliding Window Techniques (Fixed vs. Dynamic size)
• Pre-computation (Prefix & Suffix Sums)

Phase 7: Interview Mastery

• Efficiency Analysis (Big O, Space-Time Tradeoffs)
• Pattern Recognition & Problem Solving
• Mock Assessments & Whiteboarding

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💻 "Code speaks louder than words."