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Master Python

A comprehensive collection of Python programming exercises, examples, and mini-projects designed to strengthen core programming skills and problem-solving abilities.

Overview

This repository contains Python practice materials ranging from fundamental concepts to more advanced programming techniques. It serves as a personal learning journey and a reference for Python developers who want to improve their coding skills through hands-on examples.

Contents

Python Fundamentals

  • Variables and Data Types
  • Operators and Expressions
  • Conditional Statements
  • Loops
  • Functions
  • Modules and Packages

Data Structures

  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • String Manipulation

Object-Oriented Programming

  • Classes and Objects
  • Inheritance
  • Encapsulation
  • Polymorphism

Problem Solving

  • Mathematical Problems
  • Algorithmic Challenges
  • Logical Programming Exercises

Mini Projects

  • Console-based Applications
  • Utility Scripts
  • Practice Projects

Skills Demonstrated

  • Python Programming
  • Problem Solving
  • Algorithmic Thinking
  • Object-Oriented Design
  • Code Organization
  • Software Development Fundamentals

Tech Stack

Layer Technology
Language Python
Environment Jupyter Notebook / Python IDE
Version Control Git & GitHub

Project Structure

master-python/
├── basics/
├── functions/
├── oop/
├── exercises/
├── projects/
├── notebooks/
└── README.md

Getting Started

Prerequisites

  • Python 3.10+
  • pip

Installation

git clone https://github.com/Afsaneh-hassani/master-python.git

cd master-python

python filename.py

Learning Goals

  • Build a strong foundation in Python
  • Improve coding and debugging skills
  • Practice problem-solving techniques
  • Prepare for backend development and technical interviews

Author

Afsaneh Hassani

  • Python Developer
  • Django Developer
  • PhD in Mathematics

GitHub: https://github.com/Afsaneh-hassani

LinkedIn: https://www.linkedin.com/in/afsaneh-hassani-saleh

License

This repository is available for educational purposes.

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A collection of Python exercises, examples, algorithms, and mini projects for mastering Python programming.

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