What are the disadvantages of using OOP in Python?
Some disadvantages of OOP in Python include increased complexity, performance overhead, and difficulty in debugging.
Can you explain how increased complexity affects code maintenance?
Increased complexity can make the code harder to understand and maintain, leading to longer development times and more bugs.
What about performance overhead? How does it impact applications?
Performance overhead in OOP can slow down applications due to the additional memory usage and processing required for objects.
Are there specific scenarios where OOP is not recommended?
Yes, OOP may not be ideal for small scripts or applications where simplicity and speed are more important than structure.
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