dconvexhull 0.1.3

Educational Python API wrapping a C++ convex hull module (2D only, outputs PDF visualization)

dconvexhull

An educational Python package that provides a simple API for computing the convex hull of a 2D point set.
This package wraps a C++ module for efficient computation and offers Python-friendly interfaces for students, researchers, and developers.

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✨ Features

• Compute convex hulls for 2D point sets.
• Input formats:
  • Python 2D lists ([[x1, y1], [x2, y2], ...])
  • CSV files containing 2D coordinates
• Output:
  • A PDF file that visualizes the convex hull and highlights the vertices.
• Educational purpose: designed to help Python users understand convex hull algorithms and visualization workflows.
• First edition: only supports 2D data.

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📦 Installation

You can install the package directly from PyPI (after publishing):

pip install dconvexhull

Or install locally for development:

git clone https://github.com/yourusername/dconvexhull.git
cd dconvexhull
pip install .

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🚀 USAGE

After installation, you can import and use the package as follows: Example 1: Using a Python 2D list

from dconvexhull import convxHull
# Define a set of points
ptc = [[0, 0], [1, 1], [2, 0], [2, 2], [0, 2]]

# Draw convex hull from array input
convxHull.draw_convxHull_from_arr(ptc)

Example 2: Using a CSV fil

from dconvexhull import operations
operations.compute_convex_hull("points.csv")

This will generate a PDF file () that shows the convex hull polygon and its vertices.

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📖 Educational Notes

• Convex Hull: The smallest convex polygon that contains all points in a set. • This package demonstrates how Python can interface with C++ modules for computational geometry. • Visualization is handled with matplotlib, making results easy to interpret for students and researchers.

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⚙️ Dependencies

• matplotlib (for visualization and PDF export)

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🧑‍🏫 Target Audience

• Python learners exploring computational geometry • Students studying convex hull algorithms • Developers interested in Python–C++ integration