*Complete Roadmap to Learn Python Programming in 2025* Beginner Level 1. Basics of Python - Understanding syntax and basic concepts - Variables and data types - Basic operators and expressions - Input and output functions - Conditional statements (if, elif, else) - Loops (for, while) 2. Data Structures - Lists - Tuples - Sets - Dictionaries 3. Functions and Modules - Defining and calling functions - Arguments and return values - Lambda functions - Built-in modules and importing external modules Intermediate Level 4. File Handling - Reading from and writing to files - Working with CSV, JSON, and other file formats 5. Object-Oriented Programming (OOP) - Classes and objects - Methods and constructors - Inheritance and polymorphism - Encapsulation and abstraction 6. Error Handling and Exceptions - Try, except, finally blocks - Raising exceptions - Custom exceptions 7. Libraries and Frameworks - Understanding and using popular libraries (NumPy, Pandas, Matplotlib) - Introduction to web frameworks (Flask, Django) Advanced Level 8. Advanced Concepts - Decorators - Generators - Context managers 9. Working with Databases - SQL and NoSQL databases - ORM (Object-Relational Mapping) with SQLAlchemy or Django ORM 10. Web Development - Full-stack development with Django or Flask - RESTful APIs and backend services 11. Data Science and Machine Learning - Data analysis with Pandas - Data visualization with Matplotlib and Seaborn - Machine learning with Scikit-Learn and TensorFlow Tools and Best Practices 12. Version Control - Using Git and GitHub for version control - Collaboration and branching strategies 13. Testing and Debugging - Unit testing with Unittest or PyTest - Debugging techniques and tools 14. Development Environment - Setting up IDEs (PyCharm, VS Code) - Virtual environments and dependency management 15. Code Quality - Writing clean and efficient code - Adhering to PEP 8 standards - Code reviews and refactoring