Python Interview Topics

• Core Python
  • Data Types: list, dict, set, tuple, str
  • list vs set vs tuple
  • Control Flow: if, for, while
    • is vs ==
    • is not vs !=
    • Comprehensions: (Short Hand Codes)
      • List Comprehension
      • Dict Comprehension
  • Functions:
    • *args, **kwargs, default params, scope
    • Dunder Methods
    • __init__ function, super function
  • Decorator
    • Core concepts and use-cases
    • Real life implecation
  • Context Manager
    • How does it works ? When to use? Examples
    • File Read/Write using with block
    • Design a custom Context Manager (Class-based):
      • __enter__() method
      • __exit__() method
    • Design a custom Context Aware Function Using contextlib
  • Context Manager and Decorator
  • Generator vs Iterator: __next__, yield, __iter__
  • Python OOP:
    • Inheritance, __init__, __str__, __repr__, encapsulation
    • Polymorphism, Implement Factory design pattern
  • Error Handling:
    • try-except-finally
    • stock exceptions
    • custom exceptions
    • python logger and logging levels
  • Modules & Packages: import, __init__.py, sys.path
• Python Interpreter (REPL)
  • Read > Execution > Print > Loop
  • Pros and Cons
• Python Memory Management
• Pickling (Serialization)
• Unpickling (De-serialization)

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