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Here, you can engage with a variety of JavaScript problems designed to enhance your skills. If you have any questions or need clarification on a problem or concept, don’t hesitate to raise an issue. If you have a solution to any problem, we encourage you to contribute by submitting a pull request. Let’s learn and grow together

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DSA with JavaScript

Data Structures and Algorithms (DSA) with JavaScript involves a structured approach. Here's a detailed roadmap to help you navigate through the key concepts and techniques:

1. Foundations

JavaScript Basics:

  • Understand variables, data types, operators, and control structures (if-else, loops).
  • Functions, scope, and closures.
  • ES6+ features: let/const, arrow functions, template literals, destructuring, spread/rest operators.

Basic Data Structures:

  • Arrays and Strings.
  • Objects and Maps.

2. Core Data Structures

Linear Data Structures:

  • Arrays: Basic operations, multi-dimensional arrays.
  • Linked Lists: Singly, doubly, and circular linked lists.
  • Stacks: LIFO principle, stack operations.
  • Queues: FIFO principle, circular queue, priority queue.

Non-Linear Data Structures:

  • Trees: Binary trees, binary search trees (BST), AVL trees, red-black trees.
  • Heaps: Min-heap, max-heap.
  • Graphs: Representations (adjacency list, adjacency matrix), types of graphs (directed, undirected, weighted, unweighted).

3. Advanced Data Structures

Hashing:

  • Hash tables, hash functions, collision resolution techniques (chaining, open addressing).

Trie:

  • Prefix trees for efficient string operations.

4. Algorithms

Sorting Algorithms:

  • Bubble sort, selection sort, insertion sort.
  • Merge sort, quicksort, heap sort.
  • Counting sort, radix sort, bucket sort.

Searching Algorithms:

  • Linear search, binary search.
  • Search in rotated sorted array.

Dynamic Programming:

  • Concepts of memoization and tabulation.
  • Classic problems: Fibonacci sequence, knapsack problem, longest common subsequence.

Greedy Algorithms:

  • Activity selection, coin change problem, Huffman coding.

Graph Algorithms:

  • Depth First Search (DFS), Breadth First Search (BFS).
  • Shortest path algorithms: Dijkstra’s, Bellman-Ford.
  • Minimum spanning tree algorithms: Kruskal’s, Prim’s.

Backtracking:

  • N-queens problem, subset sum, permutation and combination generation.

Contributing

Contributions are welcome! Please fork this repository and submit a pull request for any improvements or additional content.

License

This project is licensed under the MIT License - see the License file for details.


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Here, you can engage with a variety of JavaScript problems designed to enhance your skills. If you have any questions or need clarification on a problem or concept, don’t hesitate to raise an issue. If you have a solution to any problem, we encourage you to contribute by submitting a pull request. Let’s learn and grow together

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