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A collection of Python tasks, assignments, and projects showcasing my skills in data analysis and automation. Each folder contains code, documentation, and resources. This repository highlights my learning journey and practical applications of Python programming.

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midrees555/Python_Practice_Projects

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Python Projects, Tasks, and Assignments

Overview

Welcome to the Python Small Projects repository! This repository is a collection of various Python-based projects, tasks, and assignments that I have worked on to hone my programming skills. It includes everything from simple scripts and coding exercises to more complex projects. Each folder in this repository contains a specific project, task, or assignment along with its relevant files and a detailed README.md for that particular folder.

Repository Structure

The repository is organized into subdirectories, each representing a different project, task, or assignment. Here’s a general structure of the repository:

python-projects-tasks/

project1/

  • project-script.py
  • README.md

task1/

  • task_script.py
  • README.md

assignment1/

  • assignment_solution.py
  • README.md .... .... ....

Explain The Structure

  • projectX/: Each projectX folder contains a specific Python project. These projects may range from small utilities to larger applications.
  • taskX/: Each taskX folder contains a coding task or exercise. These are often focused on practicing specific Python concepts or solving particular problems.
  • assignmentX/: Each assignmentX folder contains solutions to programming assignments. These may include exercises from online courses, coding challenges, or academic work.

Each folder contains:

  • Python scripts relevant to the project, task, or assignment.
  • A README.md file providing details about that specific folder, such as the purpose of the code, how to run it, and any other relevant information.

How to Use This Repository

  • Explore: Browse through the various folders to explore different Python projects, tasks, and assignments.
  • Learn: Use the provided code and explanations to learn more about Python programming and related concepts.
  • Contribute: If you’d like to contribute, feel free to fork the repository, add your improvements or new projects, and submit a pull request.

Getting Started

To get started with any project or task:

  1. Clone the repository:

    git clone https://github.com/midrees555/python-small-projects.git
    
  2. Navigate to the folder of the project or task you're interested in: cd python-projects-tasks/projectX

  3. Follow the instructions in the folder's README.md to run the code or understand the implementation.

Goals of This Repository

The primary goals of this repository are:

  • Skill Development: To practice and enhance my Python programming skills by working on a variety of projects and tasks.
  • Portfolio Building: To create a collection of work that demonstrates my abilities to potential employers or collaborators.
  • Learning Resource: To provide a resource for others to learn from and contribute to.

Technologies Used

  • Python: The primary language used for all projects and tasks in this repository.
  • Git/GitHub: For version control and collaboration.

Future Plans

  • Continuously update the repository with new projects, tasks, and assignments.
  • Improve existing code and documentation based on feedback and further learning.
  • Collaborate with others to expand the repository's content and usefulness.

Contributing

Contributions are welcome! If you have a project, task, or improvement to suggest, please fork the repository, make your changes, and submit a pull request. Let's learn and grow together!

License

This repository is licensed under the MIT License. See the LICENSE file for more details.

Contact

If you have any questions, suggestions, or feedback, feel free to reach out to me at my new main info.midrees@gmail.com or old mail midrees4040@gmail.com.

About

A collection of Python tasks, assignments, and projects showcasing my skills in data analysis and automation. Each folder contains code, documentation, and resources. This repository highlights my learning journey and practical applications of Python programming.

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