🐍 Python Programming – From Basics to OOPs & Data I/O 🚀

This folder contains my Python learning journey, starting from basic concepts and moving toward Object-Oriented Programming (OOPs) and Data Input/Output operations.

Python is the core language for AI, Machine Learning, and Data Science, and this repository focuses on building strong fundamentals with hands-on practice.

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🔍 Topics Covered

🔹 Python Basics

• Variables & Data Types
• Type Casting
• Operators
• Conditional Statements (if-else)
• Loops (for, while)
• Functions
• Basic problem-solving

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🔹 Object-Oriented Programming (OOPs)

• Classes & Objects
• Constructors (__init__)
• Instance variables & methods
• Inheritance
• Encapsulation
• Polymorphism
• Real-world OOP examples

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🔹 Data Input & Output

• User input using input()

• Printing formatted output

• File handling

  • Read files
  • Write files
  • Append data

• Working with text files

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🛠️ Tools & Technologies Used

• Python 🐍
• Jupyter Notebook
• VS Code

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📂 Folder Structure

Python/
│
├── Basics/
│   ├── variables_datatypes.ipynb
│   ├── loops_conditions.ipynb
│
├── OOPs/
│   ├── classes_objects.ipynb
│   ├── inheritance.ipynb
│
├── Data_Input_Output/
│   ├── user_input.ipynb
│   ├── file_handling.ipynb
│
└── README.md

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🎯 Learning Objectives

• Build strong Python fundamentals

• Understand OOP concepts clearly

• Learn file handling for real-world applications

• Prepare Python base for:

  • Data Science
  • Machine Learning
  • Automation

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🚀 Next Learning Goals

• Exception Handling
• Modules & Packages
• NumPy & Pandas
• Data Visualization
• Machine Learning Algorithms

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🙌 About This Repository

This repository is created for:

• Practice
• Revision
• Interview preparation
• Building a strong GitHub portfolio

Strong Python fundamentals = Strong AI/ML future 💪🤖

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⭐ If you find this helpful, don’t forget to star the repository! 📌 Suggestions & improvements are always welcome.