What are the benefits of dynamic typing in Python?
Dynamic typing in Python allows for more flexibility in coding. You can assign different data types to the same variable without declaring its type explicitly.
Can you give me an example of how that works?
Sure! In Python, you can do something like this: x = 10
(an integer), and later x = 'Hello'
(a string). This flexibility can speed up development.
Are there any downsides to dynamic typing?
Yes, while dynamic typing offers flexibility, it can lead to runtime errors that are harder to debug since type checks happen during execution rather than at compile time.
How does dynamic typing compare to static typing?
In static typing, you must declare variable types, which can catch errors early but requires more code. Dynamic typing is more concise and allows for rapid prototyping.
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