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Medium
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Python’s Dynamic Typing is a Time Bomb
- One of the biggest downsides of dynamic typing is that errors are only caught at runtime.
- In Python, errors like type mismatches can go unnoticed until the code is executed.
- This makes debugging more difficult and increases the risk of production failures.
- As projects grow, maintaining dynamically typed code becomes a challenge due to lack of explicit type declarations.
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