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Prime-Explo

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A speedometer.
A speedometer.
By Constantin Hentgen 1 min read

This project was initiated as a Python-based exercise during my Erasmus program in Denmark. It serves as a practical application of mathematical concepts and programming skills, combining computational techniques with mathematical theory.

Table of Contents

  1. Objective
  2. Technologies Used
    • Python3
    • Matplotlib
    • Numpy
    • Multiprocessing
    • Pathos
    • LaTeX
    • MySQL
  3. Project Repository
  4. License
  5. References

Objective

The goal of this project is to build a database of prime numbers and notable primes, as well as to provide functions for testing prime numbers. This resource aims to be a useful tool for mathematical applications and number theory research.

Technologies Used

The development of this project involved several technologies and libraries:

  • Python3: The primary programming language used for implementing the project. Python is well-suited for scientific computing and data manipulation.

    • Source: Python Official Website

    • MathPlotLib: A plotting library for Python used to create visual representations of mathematical data and functions.

    • Numpy: A fundamental package for numerical computing in Python, providing support for large, multi-dimensional arrays and matrices, along with mathematical functions.

    • Multiprocessing: A Python module that allows for parallel processing, enhancing the performance of computational tasks by utilizing multiple CPU cores.

    • Pathos: A library that extends Python’s multiprocessing capabilities with additional features and tools for parallel computing.

  • LaTeX: A typesetting system used for formatting mathematical expressions and documents. LaTeX helps present complex mathematical notation clearly and professionally.

  • MySQL: A relational database management system used to store and manage the prime numbers database. MySQL provides a robust and efficient way to handle large datasets.

Project Repository

For more details on the implementation, access the source code, and explore the project, visit the GitHub repository:

License

This project is licensed under the MIT License. See the LICENSE file for more information.

References

App, Software
python math
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