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The Telecom Churn Analysis is a personal collection of simple and useful Python scripts created to improve programming skills and solve everyday problems using code. Each script focuses on a different concept such as file handling, data processing, automation, or logic building.

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Snnehamaurya/Telecom-Churn-Analysis-Using-Python

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🐍 Telecom Churn Analysis Using Python

Welcome to the Telecom Churn Analysis repository! This project showcases various Python scripts and small utilities designed to solve real-world problems and practice programming fundamentals.

🧩 What’s Inside

Each folder or script focuses on a different theme or problem, such as:

Data manipulation and analysis

File input/output

Mini automation tools

Algorithms and logic-building exercises

Feel free to explore each script to learn how different Python concepts are applied in practice.

🎯 Goals

Demonstrate core Python skills: functions, loops, conditionals, data structures, file handling

Practice algorithmic thinking and problem solving

Build small, useful utilities for daily tasks or learning

🧠 Why This Project?

Great for beginners: easy-to-understand examples and self-contained scripts

Helps reinforce fundamental programming concepts

Provides inspiration for your own project ideas or extensions

🚀 Getting Started

Clone this repo:

bash Copy Edit git clone https://github.com/Snnehamaurya/Python_Project.git cd Python_Project Inspect the folders – each folder or script usually includes a short description.

Run a script using:

bash Copy Edit python script_name.py Customize a script or add your own – get hands‑on practice by modifying code or adding new features!

🛠️ Requirements

Python 3.7+ installed

No external libraries needed for most scripts (check each folder’s README if included)

🎓 Learn & Contribute

These scripts make great tutorials: copy them, tweak them, and see how you can improve or build on top.

Want to add a new script, enhance error handling, or write tests? Contributions are welcome!

About

The Telecom Churn Analysis is a personal collection of simple and useful Python scripts created to improve programming skills and solve everyday problems using code. Each script focuses on a different concept such as file handling, data processing, automation, or logic building.

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