Welcome to the Data Structures and Algorithms repository! 🎉 This repo is designed to guide you through the essential data structures and algorithms commonly encountered in coding interviews. The repo is structured into 14 chapters, each focusing on specific topics with detailed explanations, examples, and practice problems to build your problem-solving skills. 
Ailyn Diaz 
- Feel free to connect with me on LinkedIn for any questions or if you want to join forces to enhance this project!
- For more exciting projects, follow my GitHub.
- Interactive Examples: Try out examples in an interactive environment.
- Visual Learning: Detailed diagrams and infographics for better understanding.
- Community Driven: Updated and enriched by community contributions.
Clone the repository and navigate to the directory:
git clone https://github.com/ailynux/DSA-Lab.git
cd DSA-Lab
The repo is divided into the following chapters:
- Introduction 📘
- Arrays and Strings 📒
- Hashmaps and Sets 📗
- Linked Lists 📕
- Stacks and Queues 📓
- Trees and Graphs 🌲
- Heaps 📚
- Graph Algorithms 💰
- Greedy Algorithms 💰
- Binary Search 🔍
- Backtracking 🔙
- Dynamic Programming 💾
- Coding Interview Tools and Techniques 🔧
- Advanced Techniques (Bonus) ✨
For each of the main chapters (2–11), you'll find:
- Explanation of the Data Structure/Algorithm: Understand its purpose, implementation details, and time/space complexity.
- Common Patterns and Tricks: Techniques to apply the concept effectively in different scenarios.
- Example Walkthroughs: Step-by-step problem solutions supplemented with visual aids and explanations.
- Practice Problems: Curated problems to solidify your understanding and build muscle memory.
- Bonus Problems: Optional challenges to further enhance your skills.
This section contains a variety of tools to help you during and after this repo:
- Code Templates: Reusable templates for common patterns. 🧩
- Cheat Sheets: Quick references for time and space complexities. 📊
- Flowcharts: A decision-making tool to help you choose the right data structure or algorithm. 🗺️
- Interview Tips: Insights into coding interview stages with example mock interview videos from FAANG companies. 🎥
In the final section, you'll explore advanced techniques and niche algorithms that are useful but not broad enough to warrant their own chapter.
Each chapter will have its own dedicated .md file, with detailed breakdowns and exercises:
chapter-1-introduction.mdchapter-2-arrays-and-strings.mdchapter-3-hashmaps-and-sets.md- ...
Introduction to Data Structures and Algorithms
Whether you're prepping for coding interviews or just looking to solidify your understanding of data structures and algorithms, this repo is for you! Dive into the chapters and start learning today. 🌟
Feel free to contribute by adding more practice problems, improving explanations, or suggesting advanced topics! Everyone is welcome here!
