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Personal collection of algorithms.

Project description

Vicentin

A Python package showcasing algorithms, data structures, and mathematical concepts.

CI License: MIT


Table of Contents


Introduction

vicentin is a Python package that contains my personal implementations of a variety of algorithms, data structures, and optimization techniques. It serves as a collection of theoretical and practical programming concepts.


Features

  • Data Structures – Stacks, Graphs, Heaps, Priority Queues, Tries
  • Dynamic Programming – Knapsack, Matrix Chain Multiplication, Rod Cutting
  • Graph Algorithms – Minimum Spanning Tree (MST), Shortest Path
  • Image Processing – Optical Flow, Differentiation, Regularization
  • Optimization – Gradient Descent
  • Sorting – Heap Sort
  • Mathematical Tools – PCA, Kernel PCA, Polynomial Operations

Installation

1️⃣ Clone the Repository

git clone https://github.com/your-username/vicentin.git
cd vicentin

2️⃣ Set Up a Virtual Environment

python -m venv venv
source venv/bin/activate

3️⃣ Install Dependencies

pip install -r requirements.txt

Usage

Import the package and use its functionalities in Python scripts.

import vicentin

# Example: Using the heap data structure
from vicentin.data_structures.heap import Heap

heap = Heap()
heap.insert(5)
heap.insert(2)
heap.insert(8)

print(heap.extract_min())  # Output: 2

Pre-commit Setup

This repository uses pre-commit to enforce coding standards, automatic formatting and automatic version bumping before commits.

1️⃣ Install pre-commit

pip install pre-commit

2️⃣ Install Hooks

pre-commit install

3️⃣ Use commitizen to commit

cz commit

License

This project is licensed under the MIT License.

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