A comprehensive collection of Python programming exercises, examples, and best practices for developers at all levels.
This repository is designed as a progressive learning path through Python programming concepts, from fundamentals to advanced topics. Each section contains:
- Step-by-step exercises with detailed explanations
- Multiple difficulty levels: Basic → Intermediate → Advanced → Expert
- Real-world examples and practical applications
- Best practices and coding standards
- Comprehensive solutions with alternative approaches
Core Python concepts and syntax
- Variables and Data Types
- Control Structures
- Functions
- Modules and Packages
Complete OOP concepts with practical examples
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Design Patterns
Design principles for maintainable code
- Single Responsibility Principle
- Open/Closed Principle
- Liskov Substitution Principle
- Interface Segregation Principle
- Dependency Inversion Principle
Advanced Python features and techniques
- Decorators
- Context Managers
- Metaclasses
- Descriptors
- Concurrency
Essential DSA implementations and problems
- Arrays and Lists
- Linked Lists
- Stacks and Queues
- Trees and Graphs
- Sorting and Searching
🧪 Testing
Testing methodologies and frameworks
- Unit Testing
- Integration Testing
- Test-Driven Development
Professional coding standards
- Code Style and PEP 8
- Documentation
- Error Handling
- Performance Optimization
🛠️ Projects
Hands-on projects to apply your skills
- Beginner Projects
- Intermediate Projects
- Advanced Projects
Quick reference guides
- OOP Cheat Sheet
- SOLID Principles Cheat Sheet
- Python Syntax Cheat Sheet
Additional learning materials
- Recommended Books
- Online Tutorials
- Development Tools
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Clone the repository:
git clone https://github.com/soltanegharb/python-practices.git cd python-practices -
Choose your starting point:
- New to Python? Start with Fundamentals
- Know basics? Jump to Object-Oriented Programming
- Want to improve code quality? Check SOLID Principles
-
Follow the learning path:
- Each section has a README with learning objectives
- Exercises are numbered for progressive difficulty
- Try solving problems before looking at solutions
- Start with the README in each section
- Attempt exercises before viewing solutions
- Experiment with the code examples
- Build upon the provided solutions
- Use exercises as classroom assignments
- Adapt examples for your curriculum
- Reference the step-by-step explanations
- Contribute additional exercises
- Use as a quick reference
- Review best practices
- Find implementation patterns
- Contribute real-world examples
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
- Add new exercises
- Improve existing solutions
- Fix bugs or typos
- Enhance documentation
- Share real-world examples
This project is licensed under the MIT License - see the LICENSE file for details.
- Mohammad Hossein Soltani - Creator and main author
- Python community for inspiration
- Contributors who make this resource better
- Educators who provide feedback
- 🐛 Found a bug? Open an issue
⭐ Star this repository if you find it helpful!
Happy coding! 🎉