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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.

				
					try:
    num = int("abc")
except ValueError as e:
    print(f"Error: {e}")

				
			

TypeError:

  • It occurs when we try to operate on incompatible types.
				
					try:
    result = "10" + 5
except TypeError as e:
    print(f"Error: {e}")

				
			

2. Error Handling with Try-Except:

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

				
					try:
    num = int(input("Ingrese un número: "))
    print(f"El doble del número es {num * 2}")
except ValueError:
    print("Por favor, ingrese un número válido.")

				
			

3. User Input Validation:

Before converting, validate user input to avoid errors.

				
					user_input = input("Ingrese un número entero: ")

if user_input.isdigit():
    num = int(user_input)
    print(f"El cuadrado del número es {num**2}")
else:
    print("Por favor, ingrese un número entero válido.")

				
			

4. Secure Conversions with Features:

Use conversion-safe features when possible.

				
					def convert_to_int(value):
    try:
        return int(value)
    except ValueError:
        return None

result = convert_to_int("123")
if result is not None:
    print(f"La conversión fue exitosa: {result}")
else:
    print("No se pudo convertir a entero.")

				
			

5. Exceptions Format:

Provides informative error messages to facilitate debugging.

				
					try:
    num = int("abc")
except ValueError as e:
    print(f"Error de conversión: {e}")

				
			
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