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Assessment for Python Course, Digital Science, LPI, UPC, Paris

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Python Assessment

Create a Python program in steps to fulfil the assigned tasks in the assessment.
Explore the docs.
Report Bug.
Request Feature.

TABLE OF CONTENTS

  1. About The Project.
  2. Getting Started.
  1. Usage.
  2. Contact.
  3. Acknowledgments.

About The Project

Create a Python program in steps to fulfil the assigned tasks in the assessment.

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Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Python 3.11.6^

  • pip

    $ pip install pip

Installation

  1. Clone the repo

    $ [email protected]:dilancroos/python_project_LPI.git
  2. Change to the working directory

    $ cd python_project_LPI
  3. Install PIP packages

    $ pip install -r requirements.txt

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Usage

  • Create a virtual environment .venv

     $ python -m venv .venv
  • Use the main.ipynb file to go through each of the steps

  • Run unit test (currently 25 tests)

    $ python -m unittest

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Contributing

Contributions are what makes the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project

  2. Create your Feature Branch

    $ git checkout -b feature/AmazingFeature
    
  3. Commit your Changes

    $ git commit -m 'Add some AmazingFeature'
    
  4. Push to the Branch

    $ git push origin feature/AmazingFeature
    
  5. Open a Pull Request

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Contact

Anton Dilan Croos Warnakulasuriya - [email protected]
Project Link: https://github.com/dilancroos/python_project_LPI

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Acknowledgments

« This work was supported by the Agence Nationale de la Recherche as part of the program France 2030, ANR-20-SFRI-0013 »
« Ce travail a bénéficié d'une aide de l’État gérée par l'Agence Nationale de la Recherche au titre de France 2030 portant la référence ANR-20-SFRI-0013 »

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Assessment for Python Course, Digital Science, LPI, UPC, Paris

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