This repository serves as a personal knowledge base for "Fru1tworld," documenting summaries and notes from various Computer Science (CS) books. It targets aspiring developers and individuals preparing for technical interviews, offering a curated collection of completed study materials across diverse CS domains.

How It Works

The project's core methodology involves systematically reading and consolidating key concepts from a wide array of CS literature. Each listed book, ranging from Machine Learning and System Design to Operating Systems and Networking, has been marked as "완독" (completed), indicating that the author has processed and summarized its content. This approach provides a structured and comprehensive overview of fundamental CS topics.

Quick Start & Requirements

This repository contains personal study notes and summaries of CS books. It does not include executable code, installation instructions, or specific software requirements. Accessing the content requires only a web browser to view the README file.

Highlighted Details

• Extensive coverage of core Computer Science domains, including Machine Learning, System Design, DevOps, Operating Systems, Networking, Programming Languages, Databases, and Frontend development.
• All listed books, such as "Understanding Deep Learning," "Designing Data-Intensive Applications," and "Site Reliability Engineering," are marked as completed.
• Includes notes on foundational programming concepts and languages like Python, Java, and JavaScript.

Maintenance & Community

No information regarding maintenance, community engagement, or contribution guidelines is present in the provided README.

Licensing & Compatibility

The README does not specify a software license. Therefore, its usage, distribution, and compatibility for commercial or closed-source projects are undetermined.

Limitations & Caveats

As a personal study repository, the content is primarily for the author's reference and may not be structured for external contribution or easy navigation. The notes are in Korean, potentially limiting accessibility for non-Korean speakers. It represents a collection of learning materials rather than a deployable software project.