Python Fundamentals 🐍

This repository documents my learning journey in Python fundamentals, built as a strong foundation for Machine Learning and Data Science.

The focus is on understanding core Python concepts through hands-on coding, practice exercises, and small projects.

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Course Reference

• Python for Everybody – Coursera
  (Instructor: Dr. Charles Severance)
• Python course - Kaggle
  (for additional exercises)
  

Note: All code in this repository is written by me for learning and practice purposes.

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Learning Objectives

• Build a better understanding of Python basics
• problem-solving using Python
• Prepare a strong foundation for Machine Learning
• Practice writing clean and readable code

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Topics Covered

• Variables and data types
• Conditional statements (if / else)
• Loops (for, while)
• Functions
• Lists, tuples, dictionaries
• Strings
• File handling
• Exception handling
• Basic Object-Oriented Programming (OOP)

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🛠️ Repository Structure

python-fundamentals/
│
├── basics/                 # Variables, data types, input/output
├── control-flow/           # if-else statements and loops
├── functions/              # Function definitions and examples
├── data-structures/        # Lists, tuples, dictionaries
├── strings/                # String operations and methods
├── files-and-exceptions/   # File handling and error handling
├── oop/                    # Basic object-oriented programming
├── mini-projects/          # Small projects to apply concepts
└── README.md