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Contains all my python things...

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🐍 Complete Python Programming Course

Master Python from Basics to Advanced with Real-World Projects

πŸ“š Course Overview

This comprehensive Python course takes you from absolute beginner to advanced Python developer through hands-on projects and practical examples. Learn Python fundamentals, advanced concepts, and build real-world applications that showcase your skills.

🎯 What You'll Learn

Core Python Fundamentals

  • Data Types & Variables - Master strings, numbers, lists, tuples, dictionaries, and sets
  • Control Flow - Conditionals, loops, and program logic
  • Functions - Function definition, parameters, return values, and scope
  • Object-Oriented Programming - Classes, inheritance, methods, and properties
  • Error Handling - Try-catch blocks, custom exceptions, and robust error management

Advanced Python Concepts

  • Comprehensions - List, set, and dictionary comprehensions for elegant code
  • Generators - Memory-efficient data processing with generators
  • Decorators - Function and class decorators for code enhancement
  • Concurrency - Threading, multiprocessing, and async programming
  • File Handling - Reading, writing, and managing files effectively

Real-World Applications

  • Web Development - Build a URL shortener with Flask
  • Data Science - Data analysis, visualization, and machine learning basics
  • Web Scraping - Extract data from websites and APIs
  • Automation - Automate repetitive tasks and file operations
  • API Development - Create and consume REST APIs

πŸ“ Course Structure

01. Python Basics (00_python/, 01_virtual/, 02_datatypes/)

  • Introduction to Python syntax and environment setup
  • Virtual environments and package management
  • Comprehensive coverage of all Python data types

02. Control Structures (03_conditionals/, 04_loops/)

  • Conditional statements and decision making
  • Loops (for, while) with practical examples
  • Real-world scenarios like chai shop automation

03. Functions & Modularity (05_functions/, 06_chai_business/)

  • Function definition, parameters, and return values
  • Scope, global, and nonlocal keywords
  • Building modular applications with packages

04. Pythonic Programming (07_comprehensions/, 08_generators/)

  • List, set, and dictionary comprehensions
  • Generator functions and expressions
  • Memory-efficient data processing

05. Advanced Features (09_decorators/, 10_oop/, 11_exceptions/)

  • Function and class decorators
  • Object-oriented programming principles
  • Exception handling and custom exceptions

06. Concurrency & Performance (12_threads_concurrency/, 13_async_python/)

  • Threading and multiprocessing
  • Global Interpreter Lock (GIL) understanding
  • Asynchronous programming with asyncio

πŸš€ Hands-On Projects

1. Utility Applications (challenges/01_utilities/)

  • Self-introduction script generator
  • Personal bio and learning journal tools
  • Task management utilities

2. Data Handling (challenges/02_data_handling/)

  • CSV and JSON data processing
  • API data manipulation
  • Contact management system
  • Weather data analysis

3. Web Scraping (challenges/03_web_scraping/)

  • Book data extraction from websites
  • Cryptocurrency price tracking
  • Hacker News top stories scraper
  • Image and PDF downloading

4. Automation (challenges/04_automation/)

  • File organization and management
  • Image processing and manipulation
  • Automated data collection

5. Data Science (challenges/05_data_science/)

  • Data analysis with pandas
  • Data visualization with matplotlib/seaborn
  • YouTube comments analysis
  • Salary vs experience correlation

6. Web Application (challenges/06_url_shortner/)

  • Complete Flask Web App
  • URL shortening service
  • Database integration (SQLite)
  • User interface with templates
  • Visit tracking and analytics

πŸ› οΈ Technologies & Tools Covered

  • Python 3.x - Core programming language
  • Flask - Web framework for building applications
  • SQLite - Database management
  • Pandas - Data manipulation and analysis
  • Matplotlib/Seaborn - Data visualization
  • Requests - HTTP library for API calls
  • Beautiful Soup - Web scraping
  • Threading/Multiprocessing - Concurrency
  • Asyncio - Asynchronous programming

πŸ“‹ Prerequisites

  • Basic computer literacy
  • No prior programming experience required
  • Windows, macOS, or Linux operating system
  • Internet connection for downloading packages

πŸŽ“ Learning Outcomes

By the end of this course, you will be able to:

βœ… Write clean, efficient Python code
βœ… Build complete web applications
βœ… Scrape and analyze data from the web
βœ… Create automation scripts
βœ… Work with databases and APIs
βœ… Implement concurrent and asynchronous programs
βœ… Apply object-oriented programming principles
βœ… Handle errors and exceptions professionally
βœ… Use advanced Python features effectively
βœ… Deploy real-world Python applications

πŸ† Course Highlights

  • 200+ Practical Examples - Learn by doing with real code
  • 6 Complete Projects - Build portfolio-worthy applications
  • Progressive Difficulty - From beginner to advanced concepts
  • Industry Best Practices - Learn professional coding standards
  • Hands-On Challenges - Daily exercises to reinforce learning
  • Real-World Applications - Solve actual problems with Python

πŸ“– How to Use This Repository

  1. Clone or download this repository
  2. Follow the folder structure in numerical order
  3. Complete exercises in each chapter
  4. Build projects in the challenges section
  5. Practice regularly with the provided examples

🎯 Target Audience

  • Beginners - No prior programming experience
  • Students - Learning Python for academic purposes
  • Professionals - Wanting to add Python to their skill set
  • Career Changers - Transitioning to software development
  • Hobbyists - Interested in automation and data analysis

πŸ“„ License

This course material is provided for educational purposes. Please respect the instructor's intellectual property and course terms.

Ready to start your Python journey? πŸš€

Begin with the basics in 00_python/ and work your way through to building complete applications!

Frequently used Commands

Initialize a virtual environment:

python -m venv venv
source venv/bin/activate  # On macOS/Linux
venv\Scripts\activate  # On Windows

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