✅ Coding Interview A–Z 💻🚀

🅰️ A – Algorithms
Core problem-solving methods like sorting, searching, and graph traversal.

🅱️ B – Big O Notation
Measure of time and space complexity.

©️ C – Coding Platforms
LeetCode, HackerRank, CodeSignal for practice.

🅳 D – Data Structures
Arrays, Linked Lists, Trees, Graphs, Stacks, Queues.

🅴 E – Edge Cases
Unusual inputs to test your code robustness.

🅵 F – Functions
Modular code blocks; focus on clean design.

🅶 G – Greedy Algorithms
Making optimal local choices to find a global solution.

🅷 H – Hash Tables
Fast lookups with key-value pairs.

🅸 I – Interview Tips
Communicate clearly, think aloud, ask clarifying questions.

🅹 J – Java/Python/C++
Common interview languages.

🅺 K – Knapsack Problem
Classic optimization challenge.

🅻 L – Linked Lists
Nodes connected sequentially.

🅼 M – Recursion & Memoization
Functions calling themselves, caching results.

🅽 N – Number Theory
Prime checks, gcd, lcm basics.

🅾️ O – Optimization
Improving algorithm efficiency.

🅿️ P – Problem Solving Patterns
Sliding window, two pointers, divide and conquer.

🆀 Q – Queues
FIFO data structure.

🆁 R – Runtime
Execution time analysis.

🆂 S – Sorting Algorithms
Merge sort, quicksort, bubble sort.

🆃 T – Trees & Tries
Hierarchical data structures.

🆄 U – Understanding Requirements
Clarify problem constraints before coding.

🆅 V – Variables
Keep track of data during computation.

🆆 W – Whiteboard Coding
Practice explaining code on paper or board.

🆇 X – XOR
Bitwise operation often used in puzzles.

🆈 Y – Your Approach
Explain your logic step-by-step.

🆉 Z – Zero-Based Indexing
Array indexing starting at zero.

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