Introducing Algorithm Hooks on scriptkavi/hooks

I’m excited to introduce 8 new algorithm hooks added to the scriptkavi/hooks library, designed to make algorithmic implementations more accessible and reusable in your React projects. These hooks encapsulate core algorithmic logic into React hooks, making them modular, reusable, and easy to integrate into any project. Whether you're working on a frontend visualization or a computationally heavy problem, these hooks can help you out!

The New Algorithm Hooks

Here are the 8 new algorithm hooks that have been implemented:

1. Breadth First Search (BFS)

• Traverse graphs layer by layer, exploring nodes in order of their distance from the start node.
• Perfect for problems like finding the shortest path in an unweighted graph or exploring connected components.

1. Depth First Search (DFS)

• Dive deep into graphs, exploring as far as possible along each branch before backtracking.
• Ideal for tasks like maze solving or pathfinding in scenarios requiring exploration of all possible routes.

1. Binary Search

• Efficiently search through sorted arrays to quickly find target elements.
• Best suited for problems where you need logarithmic time complexity for finding elements.

1. Dijkstra

• Find the shortest path in a graph with weighted edges using Dijkstra's algorithm.
• Commonly used in navigation systems and scenarios where you need to minimize the total cost or distance.

1. Graham Scan

• Compute the Convex Hull for a set of points in 2D space.
• Great for geometric problems, such as finding the outermost boundary enclosing a set of points.

1. Greedy Algorithm

• Solve optimization problems by making locally optimal (greedy) choices.
• Apply this to problems like Activity Selection or Fractional Knapsack, where the greedy choice leads to the optimal solution.

1. Merge Sort

• A stable, divide-and-conquer sorting algorithm with O(n log n) complexity.
• Use this hook to sort arrays in a production-ready environment with all edge cases handled.

1. Quick Sort

• An efficient, in-place sorting algorithm based on partitioning.
• This hook is great for scenarios where speed is prioritized, and space complexity is a concern.

Why Use Algorithm Hooks?

These hooks are designed to make implementing algorithms a breeze in React applications. Instead of rewriting or copying complex algorithm logic every time you need it, you can simply import the hook, feed it the necessary data, and let the hook handle the rest.

Here’s why you should consider using these hooks in your projects:

1. Reusability: Encapsulate core algorithmic logic into reusable components that can be integrated across different projects.

2. Modularity: With hooks like useDijkstra or useMergeSort, you no longer need to worry about the intricate details of implementation.

3. Edge Case Handling: Each hook is carefully implemented to handle various edge cases such as empty data, invalid inputs, and corner cases for large datasets.

4. Declarative Style: Hooks make your code cleaner and easier to understand by following React’s declarative approach.

5. Open Source Contribution: You’re welcome to contribute to the library! It’s open source, and any feedback or feature suggestions are greatly appreciated.

How to Get Started

You can start using the hooks by installing scriptkavi/hooks:

npx scriptkavi-hooks@latest init

npx scriptkavi-hooks@latest add quick-sort

Once installed, import the hooks you need into your project:

import {useQuickSort} from '@/hooks/quick-sort'

Now, you’re ready to integrate powerful algorithms into your React apps seamlessly.

Contribute to the Codebase

These hooks are just the beginning! As the library is open source, you’re welcome to contribute to the codebase. Whether it’s implementing new algorithms, refining existing ones, or suggesting new features, your contributions are highly encouraged.

Check out the repository here: scriptkavi/hooks GitHub Repository

Feel free to open issues, submit pull requests, or simply share your feedback!

Feedback & Suggestions

Your feedback is invaluable in improving the library and expanding its capabilities. Try out these hooks in your next project and let me know what you think. If you encounter any bugs or have suggestions for new algorithm hooks, don’t hesitate to reach out.

Let’s continue building great things together!

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