# Overview - Am I Learning Enough

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# Table of Contents

1. Language-Agnostic DSA Roadmap
2. Language-Agnostic DSA Resources

# Language-Agnostic DSA Roadmap

## Learning Path Visualization

## Detailed Breakdown

### Foundation (2-3 weeks)

- Time & Space Complexity
- Big O Notation
- Memory concepts
- Basic programming constructs
- Problem-solving methodology

### Core Concepts (8-10 weeks)

1. Basic Data Structures
2. Arrays
3. Linked Lists
4. Stacks
5. Queues
6. Hash Tables

7. Basic Trees

8. Basic Algorithms

9. Searching
10. Sorting
11. Recursion
12. Two Pointers
13. Sliding Window

### Advanced Topics (10-12 weeks)

1. Advanced Data Structures
2. Advanced Trees
3. Graphs
4. Heaps
5. Tries
6. Segment Trees

7. Bloom Filters

8. Advanced Algorithms

9. Dynamic Programming
10. Greedy Algorithms
11. Backtracking
12. Graph Algorithms
13. String Algorithms

### Mastery (Ongoing)

1. Problem Solving Patterns
2. Pattern recognition
3. Optimization techniques
4. System design basics

5. Interview preparation

6. Specialized Topics

7. Computational Geometry
8. Network Flow
9. Advanced String Algorithms
10. Parallel Algorithms

# Language-Agnostic DSA Resources

## Online Courses

1. Algorithms Part I - Princeton
2. Fundamental algorithms
3. Theoretical foundation

4. Programming assignments

5. Algorithm Specialization - Stanford

6. Comprehensive coverage
7. Advanced topics
8. Real-world applications

## Books

1. "Introduction to Algorithms" (CLRS)
2. Comprehensive coverage
3. Theoretical foundation

4. Problem sets

5. "Algorithm Design Manual" by Skiena

6. Practical approach
7. Real-world examples

8. Problem-solving strategies

9. "Grokking Algorithms" by Bhargava

10. Visual explanations
11. Simple examples
12. Beginner-friendly

## Online Platforms

1. LeetCode
2. Structured problems
3. Company-specific lists

4. Discussion forums

5. AlgoExpert

6. Curated problems
7. Video explanations

8. Interview preparation

9. InterviewBit

10. Programming interview focus
11. Company-wise problems
12. Mock interviews

## Websites

1. Visualgo
2. Algorithm visualization
3. Interactive learning

4. Step-by-step execution

5. USACO Guide

6. Competitive programming
7. Comprehensive tutorials
8. Practice problems

## YouTube Channels

1. Back To Back SWE
2. Detailed explanations
3. Visual presentations

4. Interview preparation

5. Abdul Bari

6. Algorithm explanations
7. Mathematical approach
8. Theoretical foundation

## Practice Platforms

1. AtCoder
2. Regular contests
3. Various difficulty levels

4. Active community

5. SPOJ

6. Classical problems
7. Judge system
8. Multiple languages

## GitHub Resources

1. Coding Interview University
2. Complete study plan
3. Resource compilation

4. Interview preparation

5. JavaScript Algorithms

6. DSA implementations
7. Explanations
8. Examples

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