🐍 Weekly Python Practice Project

This repository contains my weekly Python practice work — covering environment setup, debugging, Python basics, data handling, object-oriented programming, and version control with Git and GitHub.

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📌 Project Overview

This project includes:

• Python scripts for practicing variables, loops, lists, functions, and object-oriented programming (OOP).
• Handling real-world structured data using CSV files with NumPy and Pandas.
• Generating Word reports (.docx) and PowerPoint presentations (.pptx) programmatically.
• Applying debugging, code organization, and PEP8 code style.
• Version control practice using Git and GitHub.

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⚙️ Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/yourusername/YourProjectName.git
cd YourProjectName

2️⃣ Create and Activate Conda Environment

conda create -n myenv python=3.11
conda activate myenv

3️⃣ Install Required Libraries

pip install -r requirements.txt

Dependencies in requirements.txt:

• pandas
• numpy
• python-docx
• python-pptx
• flake8

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▶️ How to Run the Scripts

1. Analyze Grades

python analyze_grades.py

• Reads grades.csv
• Calculates average, highest, and lowest marks
• Filters students above average
• Saves filtered results to output.csv

2. Generate Word Report

python weekly_python_report.py

• Creates a Word report file: Weekly_Python_Practice_Report.docx

3. Generate Presentation

python weekly_presentation.py

• Creates a PowerPoint presentation: Weekly_Python_Practice_Presentation.pptx

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📁 Project Structure

project/
│
├─ src/                  # Python scripts
│   ├─ analyze_grades.py
│   ├─ final_project.py
│   ├─ student_analysis_oop.py
│   ├─ weekly_python_report.py
│   └─ weekly_presentation.py
│
├─ data/                 # CSV input files
│   └─ grades.csv
│
├─ output/               # Generated outputs
│   ├─ output.csv
│   ├─ Weekly_Python_Practice_Report.docx
│   └─ Weekly_Python_Practice_Presentation.pptx
│
├─ README.md             # Project documentation
└─ requirements.txt      # Python dependencies

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🧠 Topics Covered

• Conda environment setup
• IDE integration (VS Code / PyCharm)
• Debugging practice
• Python basics: variables, loops, lists, functions
• NumPy & Pandas for data handling
• Object-oriented programming (classes and methods)
• Mini-project: CSV data analysis
• Git & GitHub version control
• PEP8 code style with flake8

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💡 Author

Name: musharaf habib_____________________

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🧾 License

This project is open-source and free to use for educational purposes.