🚀 LeetCode Practice

A structured collection of LeetCode solutions focused on building strong Data Structures & Algorithms fundamentals with clean logic, optimal complexity, and interview-ready code.

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What’s Inside

• Daily LeetCode practice (topic-wise, not random)
• Python solutions using standard LeetCode format
• Emphasis on clarity, patterns, and efficiency

class Solution:
    def functionName(self, parameters):
        return answer

LeetCode handles input/output internally. Only core logic is implemented here.

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Goal

Develop sharp DSA intuition and problem-solving skills required for technical interviews, through consistent and disciplined practice.

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DSA / LeetCode Flow (Interview-Oriented)

Math & Complexity
   ↓
Arrays → Strings → Hashing
   ↓
Two Pointers → Sliding Window → Prefix Sum
   ↓
Stack → Queue → Linked List
   ↓
Sorting → Binary Search
   ↓
Trees (DFS/BFS) → Graphs
   ↓
Recursion → Backtracking → Dynamic Programming
   ↓
Greedy → Heaps → Intervals

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How to Use This Repo

• Solve problems topic-wise

• Focus on patterns, not problem count

• Typical target per topic:

  • Easy: 5–10
  • Medium: 10–15
  • Hard: optional (later)

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Reality Check

Skipping patterns breaks interviews. Jumping to DP too early breaks confidence. Ignoring trees/graphs breaks callbacks.

Consistency > volume. Execution > ego.

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