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The learning stages of Python generally include:
1. **Basics**: Understand syntax, variables, data types, operators, and basic control structures (if statements, loops).
2. **Functions and Modules**: Learn how to write functions, handle arguments, and use modules and libraries to organize code.
3. **Data Structures**: Study lists, dictionaries, sets, and tuples to handle and organize data effectively.
4. **File Handling**: Learn how to read from and write to files for data persistence.
5. **Error Handling**: Understand exceptions and error handling to make your code more robust.
6. **Object-Oriented Programming (OOP)**: Explore classes, objects, inheritance, and encapsulation to write modular and reusable code.
7. **Advanced Topics**: Dive into decorators, generators, context managers, and other advanced Python features.
8. **Libraries and Frameworks**: Learn to use popular libraries for data analysis (Pandas), machine learning (Scikit-learn), web development (Flask, Django), etc.
9. **Projects**: Apply your knowledge to build projects to gain practical experience and solve real-world problems.
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The learning stages of Python start with the basics, where you learn syntax, variables, data types, loops, and functions. Next, the intermediate stage covers file handling, error handling, and working with modules and libraries. The advanced stage involves object-oriented programming, decorators, generators, and data structures. After mastering these, you can specialize by learning frameworks like Django and Flask or data science libraries like NumPy and Pandas. Finally, applying your skills through real-world projects and consistent practice helps solidify your understanding and expertise.
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