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8000 GitHub - webjamil101/Python: This repository organizes LeetCode problem solutions by company tags, helping users prepare for coding interviews at top tech firms. Each folder contains Python implementations of Data Structures and Algorithms (DSA) problems frequently asked by a specific company (e.g., Google, Amazon, Microsoft).
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This repository organizes LeetCode problem solutions by company tags, helping users prepare for coding interviews at top tech firms. Each folder contains Python implementations of Data Structures and Algorithms (DSA) problems frequently asked by a specific company (e.g., Google, Amazon, Microsoft).

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Company Wise LeetCode Solutions in Python

A curated collection of LeetCode problems organized by company, solved using Python. This repository aims to help with technical interview preparation by providing solutions to problems frequently asked by top tech companies.

🏢 Companies Covered

  • Amazon - Frequently asked problems from Amazon interviews
  • Google - Google's favorite coding challenges
  • Microsoft - Microsoft's common interview questions
  • Facebook (Meta) - Problems frequently asked at Meta
  • Apple - Apple's interview problems
  • Netflix - Netflix-specific challenges
  • Other Companies - Problems from Uber, Airbnb, LinkedIn, etc.

🎯 Problem Patterns

Common algorithmic patterns covered in this repository:

  • Two Pointers
  • Sliding Window
  • BFS & DFS
  • Dynamic Programming
  • Backtracking
  • System Design
  • Graph Algorithms
  • Tree Traversal
  • Heap/Priority Queue
  • Union Find

🚀 Getting Started

Prerequisites

  • Python 3.8+
  • pip (Python package manager)

Installation

  1. Clone the repository:
git clone https://github.com/webjamil101/Python.git
cd Python

🎯 How to Use This Repository

  1. Company-specific Preparation: Focus on problems from your target company
  2. Pattern Recognition: Study solutions by algorithmic pattern
  3. Progressive Learning: Start with easy problems and gradually move to harder ones
  4. Mock Interviews: Use problems for practice interviews

🔄 Update Frequency

This repository is regularly updated with:

  • New company problems
  • Optimized solutions
  • Additional test cases
  • Performance benchmarks

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

  1. Fork the repository
  2. Create a feature branch
  3. Add your solution with proper documentation
  4. Include test cases
  5. Submit a pull request

📝 Code Style

We follow PEP 8 guidelines. Please ensure your code is:

  • Well-documented with docstrings
  • Properly formatted
  • Includes time and space complexity analysis
  • Has test cases

🛠️ Useful Tools

  • LeetCode Extension: For VS Code users
  • Python Debugger: For testing solutions locally
  • Time Complexity Analyzer: For performance optimization

📚 Resources

🙏 Acknowledgments

  • LeetCode for providing the platform
  • The coding interview community
  • Contributors and maintainers

Happy Coding! 🚀

Remember: Consistency is key to mastering coding interviews. Solve at least one problem daily!

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This repository organizes LeetCode problem solutions by company tags, helping users prepare for coding interviews at top tech firms. Each folder contains Python implementations of Data Structures and Algorithms (DSA) problems frequently asked by a specific company (e.g., Google, Amazon, Microsoft).

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