Welcome to the Comprehensive DSA Practice Repository, authored by Saptarshi Sarkar. This repository serves as a treasure trove of Data Structures and Algorithms (DSA) practice codes in Java, C++, and Python. Whether you're a novice or an experienced programmer, this repository is designed to aid your learning journey and mastery of essential DSA concepts.
Greetings! This repository is a compilation of meticulously crafted solutions to diverse DSA problems. Ranging from fundamental data structures to advanced algorithms, these solutions are meticulously organized to provide an effective learning experience.
Navigate through the folders specific to each programming language, containing categorized problem solutions:
Explore a myriad of data structures, each exemplifying their unique application:
- Arrays
- Linked Lists
- Stacks
- Queues
- Hash Tables
- Trees (Binary, AVL, Red-Black)
- Heaps
- Graphs
- Trie
- Segment Trees
Embark on an adventure into the realm of algorithms:
- Sorting Algorithms (Bubble, Insertion, Merge, Quick, etc.)
- Searching Algorithms (Binary Search, Depth-First Search, Breadth-First Search)
- Dynamic Programming (0/1 Knapsack, Longest Common Subsequence, etc.)
- Greedy Algorithms (Dijkstra's, Kruskal's, Huffman Coding)
- Backtracking (N-Queens, Subset Sum, etc.)
- Graph Algorithms (DFS, BFS, Topological Sort)
- Divide and Conquer (Merge Sort, Closest Pair of Points)
- String Algorithms (KMP, Rabin-Karp, Levenshtein Distance)
Enhance your understanding with these valuable DSA resources:
- MIT OpenCourseWare - Introduction to Algorithms
- Coursera - Algorithms Specialization
- Back To Back SWE YouTube Channel
- mycodeschool YouTube Channel
- CodeWithHarry YouTube Channel
- "Introduction to Algorithms" by Cormen, Leiserson, Rivest, and Stein: This classic textbook covers a wide range of algorithms and data structures with rigorous proofs and analysis.
- "Cracking the Coding Interview" by Gayle Laakmann McDowell: This popular book provides tips and strategies for solving coding interview questions, along with 189 problems and solutions.
- "Grokking Algorithms" by Aditya Bhargava: This friendly and illustrated book explains the basic concepts of algorithms and data structures with examples and exercises.
- "The Algorithm Design Manual" by Steven S. Skiena: This introduction to creating algorithms from scratch not only covers the theory but also uses examples and real-world exercises for reference.
- "Data Structures and Algorithms in Java" by Robert Lafore: This comprehensive book teaches how to implement data structures and algorithms in Java with clear explanations and diagrams.
- "Data Structures and Algorithms in C++" by Adam Drozdek: This comprehensive book teaches how to implement data structures and algorithms in C++ with clear explanations and diagrams.
- "Problem-Solving with Algorithms and Data Structures using Python" by Bradley N. Miller and David L. Ranum: This book uses Python to introduce abstract concepts of data structures and algorithms with interactive examples and exercises.
Sharpen your coding prowess on these esteemed platforms:
- LeetCode
- HackerRank
- Codeforces
- TopCoder
- AtCoder
- CodeChef
- SPOJ
- GeeksforGeeks Practice
- CodeWithHarry DSA Course
Contributions are heartily welcomed! Contribute to the community's growth:
- Fork the repository.
- Create a new branch for your addition:
git checkout -b feature/new-feature. - Commit your changes:
git commit -am 'Add a new feature'. - Push the branch to your forked repository:
git push origin feature/new-feature. - Open a pull request describing your changes.
This repository is licensed under the MIT License, granting you the freedom to use, modify, and distribute its contents for personal and educational purposes. Refer to the license file for more details.
Let's embark on a journey of DSA excellence! 🚀