/technical_interview_prep

Prepare to ace your technical interviews with our focused and collaborative study group. Whether you're aiming for a role in software engineering, data science, or any tech-driven field, our group offers a structured pathway to sharpen your problem-solving skills, coding proficiency, and understanding of key concepts.

Primary LanguagePythonMIT LicenseMIT

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Technical Interview Mastery: 2024 Edition

Welcome to the Technical Interview Mastery: 2024 Edition repository, your go-to resource for preparing for technical interviews in the tech industry. This project is guided by the principles and practices outlined in the Tech Interview Handbook and is designed to help candidates excel in their interviews with a variety of tech companies.

What's Inside

  • Structured Curriculum: Detailed breakdown of topics like algorithms, data structures, system design, and coding challenges.
  • Practice Problems: A collection of problems to test and improve your coding skills.
  • Mock Interview Scenarios: Real-world interview questions and scenarios to help you prepare effectively.
  • Resources: https://www.techinterviewhandbook.org/

Getting Started

To get started with this project:

  1. Clone the Repository:
    git clone https://github.com/shazaaly/technical_interview_prep
  2. Navigate to the Repository:
    cd tech-interview-mastery-2024
  3. Explore the Directories:
    • Browse through the folders to find study materials and resources.
    • Check out the practice_problems directory for coding exercises.
    • Refer to the study_sessions directory for information on upcoming group studies.

Contributing

We welcome contributions from everyone. Here's how you can contribute:

  • Suggesting Improvements: Open an issue to suggest improvements or report a bug.
  • Submitting Resources: Submit a pull request to add new resources or practice problems.
  • Joining Discussions: Participate in discussions in issues and pull requests.

Study Group Details

Resources

Core Concepts: This section delves into the theoretical aspects, providing a solid understanding of the fundamental principles of data structures and algorithms.

Logic and Technique: Here, I focus on the application of these concepts. This part is all about the 'how-to' techniques to tackle essential problems.

This dual-approach ensures a holistic understanding—bridging the gap between theory and practice. Stay tuned for regular updates!

Contact


Together, let's conquer the technical interview challenges of 2024! 🚀