/algostack

Understanding and building algorithms and data structures, block by block.

AlgoStack 🧱

Welcome to my Data Structures & Algorithms resource hub - AlgoStack! This repository is all about data structures, algorithms, databases, and REST APIs with a focus on hands-on practice and problem-solving. Whether you’re preparing for interviews, technical assessments, or just brushing up on your skills, you’ll find a structured path by topic and difficulty level.

What’s Inside

This repository is organized into a few main sections to make it easy to navigate:

1. Core Topics

Each core topic has its own folder with explanations, code samples, and practical examples to help you master the fundamentals.

  • Algothinking: This section focuses on the basics of algorithmic thinking, like Big O notation and logarithmic concepts. Understanding these ideas is key for evaluating the efficiency of algorithms, which is especially useful during assessments or interviews.

  • Data Structures: Covers essential data structures like Arrays, Linked Lists, Trees, Graphs, Hash Maps, Stacks, and Queues. Each topic includes breakdowns and sample code for common operations and optimizations.

  • Algorithms: This folder dives into Sorting, Searching, Dynamic Programming, Greedy Algorithms, Recursion, and other fundamental algorithms. It’s packed with annotated code to help you understand the “why” behind each approach.

  • Database: Here, you’ll find the basics of SQL, along with advanced queries, indexing, and tips for optimizing database performance.

  • REST APIs: Covers the essentials of REST APIs, including HTTP methods, CRUD operations, and example endpoints, with pratical, basic examples.

2. Problem Sets by Difficulty

For each main topic (Data Structures, Algorithms, Database, REST APIs), there are three levels of problem sets to practice with:

  • Easy: Basic problems to build confidence.
  • Medium: Intermediate problems that reflect common interview scenarios.
  • Hard: Advanced problems to push your skills and understanding.

Each problem includes:

  • A quick summary to set the stage.
  • Solution code.
  • Detailed comments and explanations to walk you through the approach.

Learning Resources

I’m using InterviewCake and Zenva as my main learning resources. They’re fantastic for breaking down complex topics into digestible lessons and actionable examples.

For practice and timed challenges, I turn to HackerRank and LeetCode towards the end of my prep to test my skills through hands-on problem-solving.

Happy coding, and good luck with your learning journey!