This project showcases a professional Python module for a fictional data analytics consulting company — Sabri Insights.
It includes basic Python syntax, statistics, modular functions, and a clean Git-based development workflow.
datafun-01-utils/ ├── main.py # Entry point to run the module ├── utils_sabri.py # Core module with company data and functions ├── requirements.txt # List of project dependencies ├── .gitignore # Files and folders to exclude from version control └── README.md # This file
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#Create a virtual environment
python -m venv venv
#Activate the virtual environment
On Windows:
.\venv\Scripts\activate
#Install dependencies
pip install -r requirements.txt
Run the script
py main.py
Features Returns a clean company byline using get_byline()
Calculates and prints:
Number of years in operation
Skills offered
Min, Max, Mean, and Std Dev of satisfaction scores
Sabri Insights: Turning Data into Value
Has International Clients: True
Years in Operation: 5
Skills Offered: ['Python', 'Data Cleaning', 'Power BI']
Client Satisfaction Scores: [4.9, 4.8, 5.0, 4.7, 4.6]
Mean Satisfaction Score: 4.80
Standard Deviation: 0.16
Sabri Hamdaoui
Master's Student | Data Enthusiast
GitHub: sabrouch36