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This repository contains my Python problem-solving approach and solutions to LeetCode problems, categorized by difficulty: Easy, Medium, and Hard. Some problems include multiple approaches to showcase different techniques and optimizations. All solutions are well-commented, making this a helpful resource for improving Python problem-solving skills.

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Cyberoctane29/LeetCode-Python-Problem-Solving

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πŸ’» LeetCode Python Problem Solving

Welcome to my LeetCode Python Problem Solving repository!

This repository contains my Python problem solving approach and solutions to LeetCode problems, systematically categorized by difficulty level:

  • Easy
  • Medium
  • Hard

Each problem has its own dedicated Python file, which includes:

  • Problem Explanation – A brief overview of the problem statement.
  • Solution Intuition – The thought process and reasoning behind the approach taken.
  • Python Code – A well-structured solution to the problem.
  • Alternative Solutions (if applicable) – Some problems feature multiple solutions for optimization or to explore different approaches.

Why This Repository?

This collection serves as a structured reference for:

  • Learning Python techniques through real-world problems.
  • Understanding different ways to solve Python challenges efficiently.
  • Exploring optimizations and alternative methods for better performance.
  • Gaining insights into Python coding patterns commonly used in technical interviews.

Repository Structure

# LeetCode-Python-Solutions/
# │── Easy/
# β”‚ β”œβ”€β”€ problem_name_1.py
# β”‚ β”œβ”€β”€ problem_name_2.py
# │── Medium/
# β”‚ β”œβ”€β”€ problem_name_3.py
# β”‚ β”œβ”€β”€ problem_name_4.py
# │── Hard/
# β”‚ β”œβ”€β”€ problem_name_5.py
# β”‚ β”œβ”€β”€ problem_name_6.py

Example Solution Format

# Problem: [Problem Title]
# Difficulty: [Easy/Medium/Hard]
# Table: [Table Name]
# +---------------+---------+
# | Column Name | Type |
# +---------------+---------+
# | column_1 | type |
# | column_2 | type |
# +---------------+---------+
# [Primary key and other constraints]
# Problem Statement:
# [Provide a brief problem description.]
# Solution
import pandas as pd
def solution_function(data: pd.DataFrame) -> pd.DataFrame:
 # Solution logic goes here
 answer = ... # Compute the required result
 return answer
 
# Intuition:
# [Describe the core idea behind solving this problem. Explain the thought process used to arrive at the solution.]
# Explanation:
# [Explain why this approach works effectively and break down the logic of the code step by step.]

I hope this resource proves valuable for those aiming to strengthen their Python problem-solving skills and learn new techniques.

Let’s learn and grow together! πŸš€ Happy coding! 🎯

About

This repository contains my Python problem-solving approach and solutions to LeetCode problems, categorized by difficulty: Easy, Medium, and Hard. Some problems include multiple approaches to showcase different techniques and optimizations. All solutions are well-commented, making this a helpful resource for improving Python problem-solving skills.

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