PythonLearningPreet

This intermediate and advanced guide covers:

Key Concepts Covered:

1. Data Structures: Strings, Lists, Tuples, Dictionaries, Sets
2. Functions: Basic, advanced, lambda, decorators
3. Exception Handling: Try-catch blocks, custom exceptions
4. File I/O: Reading/writing files, CSV, JSON operations
5. OOP: Classes, inheritance, polymorphism, special methods
6. Modules: Creating and using modules, packages
7. Advanced Topics: Generators, context managers, decorators

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Best Practices:

• Use meaningful variable and function names
• Write docstrings for functions and classes
• Handle exceptions appropriately
• Use list/dict comprehensions for cleaner code
• Follow PEP 8 style guidelines
• Use context managers for resource management
• Apply OOP principles when designing larger applications

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Next Steps:

• Explore external libraries (requests, pandas, numpy)
• Learn about testing with pytest
• Study design patterns
• Practice building larger projects
• Learn about web frameworks (Flask, Django)
• Explore data science and machine learning libraries

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