🐍 Python Revision Experiments

This repository is a comprehensive Python revision and experimentation workspace, created while revisiting core Python concepts through structured notes and hands-on practice.

It is based on a complete Python tutorial covering fundamentals to intermediate concepts, with a strong focus on clarity, logic building, and practical coding examples.

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📌 Purpose of This Repository

• Revise core Python concepts
• Strengthen logical thinking & problem-solving
• Practice Python using small experiments & examples
• Serve as a quick reference repo for interviews and daily use

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📚 Topics Covered

🔹 Python Fundamentals

• Introduction to Python
• Variables & Data Types
• Type Casting
• Input / Output Operations
• Keywords & Identifiers

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🔹 Control Flow Statements

• Conditional Statements
  • if
  • if-else
  • elif
• Looping Statements
  • for loop
  • while loop
• Loop control
  • break
  • continue
  • pass

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🔹 Data Structures

• List
  • Creation, indexing, slicing
  • List methods
• Tuple
  • Immutability
  • Tuple operations
• Set
  • Unique elements
  • Set operations
• Dictionary
  • Key-value pairs
  • Dictionary methods

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🔹 Strings

• String creation & indexing
• String slicing
• String methods
• Palindrome checks
• String to list conversions

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🔹 Functions

• User-defined functions
• Function parameters
  • Positional arguments
  • *args
  • **kwargs
• Return statements
• Built-in functions

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🔹 Object-Oriented Programming (OOP)

• Classes & Objects
• Constructor (__init__)
• Attributes & Methods
• Encapsulation
  • Private variables (__variable)
  • Getter methods
• Polymorphism
• Real-world class examples (Student, etc.)

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🔹 Exception Handling

• try
• except
• else
• finally
• Common runtime errors

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🔹 File Handling

• File modes (r, w, a)
• Reading and writing files
• Best practices

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🧪 Practice Style

• Short, focused Python scripts
• Concept-wise experimentation
• Beginner-friendly code
• Clear comments for understanding

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🛠 Tools & Environment

• Language: Python 3
• Editor: VS Code
• Learning Source: Structured Python tutorial notes

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🎯 Who This Repo Is For

• Beginners revising Python
• Students preparing for interviews
• Anyone wanting a clean Python refresher
• Self-learners practicing fundamentals

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🚀 How to Use

1. Clone the repository

   git clone https://github.com/your-username/python-revision-experiments.git