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List of all of the interview questions I have completed locally

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Interview Questions Project

This repository contains a collection of interview questions and projects focused on Python and React. It's designed to help developers prepare for technical interviews and improve their skills in these technologies.

Project Structure

The project is organized into two main subdirectories:

.
├── python-interview-questions/
└── react-interview-questions/

Python Interview Questions

The /python-interview-questions subdirectory contains an assortment of traditional interview questions solved using Python. These questions cover various topics such as:

  • Data Structures (e.g., Arrays, Linked Lists, Trees, Graphs)
  • Algorithms (e.g., Sorting, Searching, Dynamic Programming)
  • Object-Oriented Programming concepts
  • Python-specific features and best practices

Each question is typically presented with:

  • Problem statement
  • Solution implementation in Python
  • Explanation of the approach
  • Time and space complexity analysis

React Interview Questions

The /react-interview-questions subdirectory contains several different React projects that are meant to test various React concepts. These projects cover topics such as:

  • Component lifecycle
  • State management (including hooks)
  • Props and component communication
  • Routing
  • API integration
  • Performance optimization
  • Testing React applications

Each project is a self-contained React application demonstrating one or more React concepts.

Getting Started

Python Questions

  1. Navigate to the Python questions directory:
    cd python-interview-questions
    
  2. Run any Python file using:
    python3 filename.py
    

React Projects

  1. Navigate to a specific React project directory:
    cd react-interview-questions/project-name
    
  2. Install dependencies:
    npm install
    
  3. Start the development server:
    npm start
    

License

This project is licensed under the MIT License

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List of all of the interview questions I have completed locally

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