Computer Science Fundamental Core Concepts and Problem-Solving

This repository is a curated collection of core computer science concepts and algorithmic problem-solving techniques implemented in Java, Kotlin, Python and C++. It is designed for learners and professionals aiming to strengthen their understanding of the JVM, OOP, concurrency, and practical coding interview problems.

📌 Topics & Structure

Core Concepts

• Java & OOP: JVM internals, memory management, garbage collection, class loading, generics, and type safety.
• Concurrency: Thread safety, synchronization, locks, thread pools, deadlocks, and race conditions.

Problem Solving

• Algorithmic Challenges: Well-documented Java solutions to common problems (e.g., LeetCode), such as Longest Common Subsequence.

🗂️ Repository Layout

• cs-core-concepts/java-and-oop: Markdown notes on Java, OOP, JVM, concurrency, and related topics.
• cs-core-concepts/project-management-best-practices/: Notes on project management, including Agile methodologies and best practices.
• algorithms/: Java implementations of various algorithms, including sorting, searching, and graph algorithms.
• src/leetcode/: Java implementations of algorithmic problems with clear explanations and testable code.
• README.md: Overview, usage instructions, and contribution guidelines.

This repository is ideal for interview preparation, academic study, or deepening your understanding of CS fundamentals and Problem-Solving patterns. Contributions and questions are welcome!