🐍 Python Complete Guide

A comprehensive, hands-on guide to mastering Python — from absolute basics to OOP, DSA, file handling, testing, virtual environments, packaging, and a taste of data science & web dev. Built for learners who want clear examples, clean code, and practical mini-projects.

🔗 Repository

GitHub: https://github.com/Anjaneyakumar18/Python-CompleteGuide

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🧭 Table of Contents

• Features
• What You’ll Learn
• Folder Structure
• Getting Started
• Run the Examples
• Best Practices
• Mini Projects
• Contributing
• License
• Image Gallery

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🚀 Features

• Beginner → Advanced progression with bite-sized topics
• Clean, commented code samples for each concept
• DSA primers (stacks, queues, recursion, sliding window, DP intro)
• Practical scripts (file I/O, CLI tools, JSON/CSV, APIs)
• Testing with unittest/pytest examples
• Virtual environments + dependency management (venv, pip)
• Style + quality: black, ruff/flake8, isort
• Optional notebooks for quick experimentation

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📚 What You’ll Learn

• Core Python: variables, types, control flow, functions, modules, packages
• OOP: classes, objects, inheritance, polymorphism, dunder methods
• Data Structures: lists, tuples, dicts, sets + algorithm patterns
• File/OS: read–write files, pathlib, CSV/JSON, exceptions, logging

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