Data Structures and Algorithms for Coding Interview — Complete Python Resource

Complete Data Structures and Algorithms Resource for Technical Interview Success

Repository Overview

Repository Link: https://github.com/SamirPaulb/DSAlgo

In this meticulously organized repository, I have compiled solutions to various problems and concepts of Data Structures and Algorithms in Python, structured systematically for efficient learning and quick revision.

Repository Statistics

Topics Covered in Detail

1. LeetCode All Problems Solutions — 3000+ problems with optimal Python solutions
2. Dynamic Programming — Complete DP patterns with handwritten notes
3. Sorting Algorithms — All sorting techniques with time complexity analysis
4. LinkedList — Single, double, circular linked lists with problem patterns
5. Object-Oriented Programming — OOP concepts for system design
6. Binary Trees — Tree traversals, BST, AVL trees
7. Graph Algorithms — DFS, BFS, shortest paths, MST
8. Heap — Priority queue implementations
9. Matrix — 2D array problems and techniques
10. Trie — Prefix trees and autocomplete
11. Binary Search — Search space optimization
12. Backtracking — Exhaustive search patterns
13. Stack — Monotonic stack patterns
14. Queue — Queue variations and applications
15. Greedy — Greedy algorithms and proofs
16. String — String manipulation algorithms
17. Bit Manipulation — Bitwise operations and tricks
18. Array — Array problem patterns
19. HashMap — Hash table implementations
20. DFS BFS — Tree and graph traversals
21. Two Pointers — Sliding window and two-pointer techniques
22. Math — Number theory and mathematical algorithms
23. Recursion — Recursive problem-solving patterns

Special Features and Resources

Dynamic Programming Mastery

Striver’s SDE Sheet Solutions

The 30-Days-SDE-Sheet-Practice directory is perfect for those preparing from Striver’s SDE Sheet. It contains:

• Day-wise organized solutions
• Concise approach notes for each problem
• Optimal solutions with complexity analysis
• Quick revision-friendly format

Company-Specific Questions

The Questions-Sheet directory features curated problem lists from:

• FAANG companies (Facebook/Meta, Amazon, Apple, Netflix, Google)
• Top product companies (Microsoft, Adobe, Uber, Twitter)
• Unicorn startups and other tech giants

Computer Science Fundamentals

The BOOKS-and-PDFs directory contains essential resources:

• Algorithm textbooks and references
• System design guides
• Operating systems fundamentals
• Database concepts
• Competitive programming handbooks

Browse Code in Online VS Code

Access the repository online: samirpaulb.github.io/DSAlgo

Features of Online VS Code:

• Full syntax highlighting for Python code
• File tree navigation across all topics
• Built-in search functionality
• No installation required
• Works on any device with a browser

How to Contribute

I continuously improve this repository by adding new problems and optimizing existing solutions. Your contributions are highly valued!

Ways to Contribute:

# 1. Optimize Solutions
# - Improve time/space complexity of existing solutions
# - Add alternative approaches to problems
# - Enhance code readability and documentation

# 2. Add New Content
# - Submit solutions to new LeetCode problems
# - Add problems from recent contests
# - Include detailed explanations and complexity analysis

# 3. Expand Resources
# - Contribute to BOOKS-and-PDFs directory
# - Add company-specific question lists
# - Share interview experiences and tips

# 4. Quality Improvements
# - Fix bugs in existing solutions
# - Add test cases and edge cases
# - Improve documentation and comments

# 5. Community Support
# - Resolve issues raised by others
# - Answer questions in discussions
# - Review pull requests

Contribution Guidelines:

1. All solutions should be in Python 3
2. Include time and space complexity analysis
3. Add clear comments explaining the approach
4. Follow consistent code formatting
5. Test solutions thoroughly before submitting

Getting Started with Contributing:

# Fork the repository on GitHub
# Then clone your fork
git clone https://github.com/YOUR_USERNAME/DSAlgo.git
cd DSAlgo

# Create a new branch for your contribution
git checkout -b add-new-solution

# Make your changes
# Add and commit
git add .
git commit -m "Add solution for [Problem Name]"

# Push to your fork
git push origin add-new-solution

# Create a Pull Request on GitHub

Repository Growth

Stargazers Over Time

Recommended Learning Path

Phase 1: Fundamentals (Weeks 1-4)

1. Arrays and Strings
2. LinkedLists
3. Stacks and Queues
4. Recursion basics

Phase 2: Core Data Structures (Weeks 5-8)

1. Binary Trees and BST
2. Heaps and Priority Queues
3. HashMap and HashSet
4. Graphs (BFS/DFS)

Phase 3: Advanced Algorithms (Weeks 9-12)

1. Dynamic Programming patterns
2. Backtracking
3. Greedy algorithms
4. Advanced graph algorithms

Phase 4: Interview Preparation (Weeks 13-16)

1. Striver’s SDE Sheet (30 days)
2. Company-specific questions
3. Mock interviews
4. System design basics

Start Your Journey Today

Whether you’re preparing for your first technical interview or aiming for a FAANG role, this repository provides all the resources you need for success.

Key Takeaways:

• 3000+ curated coding problems with optimal solutions
• Organized by topics and difficulty
• Company-specific preparation material
• Active community and regular updates
• Completely free and open-source

Ready to start? Visit the repository and begin your coding interview preparation journey today!