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Understanding conversion errors in Python

Understanding conversion errors in Python is crucial to writing robust code and handling situations where data does not meet expectations. Conversion errors occur when we try to convert one data type to another and a problem arises. Here is a guide to understanding and handling these errors:

1. Types of Conversion Errors:

ValueError:It occurs when the data type is correct, but the value cannot be interpreted.

TypeError:

  • It occurs when we try to operate on incompatible types.

2. Error Handling with Try-Except:

It uses try and except blocks to handle conversion errors elegantly.

3. User Input Validation:

Before converting, validate user input to avoid errors.

4. Secure Conversions with Features:

Use conversion-safe features when possible.

5. Exceptions Format:

Provides informative error messages to facilitate debugging.

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