There are different Errors (Exceptions) and you can handle the wrong error, for example:

from math import sqrt
a, b, c = 5, 4, 0

try:
    a += sqrt(b) / c
except:
    print("The ValueError was raised!")

print("a =", a)

There's a small issue with the provided Python code. The expected error from the `sqrt(b) /  c` expression is not a `ValueError` but rather a `ZeroDivisionError`. When the value of `c` is set to 0, the expression `sqrt(b) / c` will cause a division by zero error (`ZeroDivisionError`).

We can use the following syntax to specify exceptions for code blocks:

```python
except {error_type}:
    # code block
```

Let's modify the code accordingly and catch the correct exception.

from math import sqrt
a, b, c = 5, 4, 0

try:
    a += sqrt(b) / c
except ValueError:
    print("The ValueError was raised!")
except ZeroDivisionError:
    print("The ZeroDivisionError was raised!")

print("a =", a)

Now, we can distribute operations by certain exceptions!

Have you encountered errors in Python when running the program? No programmers prevent this. If you want to learn how to perceive, process, and use errors correctly - this course is for you. Here is information about the types of errors, how to deal with them, and how to use them to your advantage! Ready? Let's start!

First, you have to learn how to handle errors. Python has tools for this. Of course, you need to understand an "Error" term in Python. You can get acquainted here.

Dive into the Exceptions concept and find out new knowledge about errors and their helpful.

Specified Exception

Specified Exception