Question

Respond to the following in a minimum of 175 words:

• It is important to program your code efficiently. Efficient code manages errors and exceptions and cleans up memory after it ends. The try-except statements are helpful in handling errors that are detected during execution. What are the two categories of errors when debugging code? How can the try-except statements handle errors in Python? Provide a code example that supports your comments.

Answer 1

While debugging the code in Python there are two types of errors:
1. Syntax error - This error occurs if there's any syntax issue in the statements. specifically to Python as indentation matters here as a new subpart of code
2. Runtime Error - This error occurs when there are no syntax errors but program doesn't run as there are some violations. Few of runtime errors are a) Divide by 0 error b) index out of bound error c) name error variable not defined.
There's another type called Logic Error which could be some logical issue in the algorithm or a different variable name used at a particular place as human error.

Python uses try-except block to handle such errors.
Try block contains the code that could be prone to errors. so that if any error occurs except block will check it.
Except block will define how to handle the occurred error. you could mention specific error if needed or just write except keyword. This will check for any error and execute this block when try gets any error.

Code for try- except example.
a=5
b=0
try:
    #Division by 0 will give error
    quotient = a // b
    print("Quotient is :", quotient)
#specify the error name
except ZeroDivisionError:
    print("Divide by zero Error! ")

This except will only catch ZeroDivisionError

a=5
b=0
try:
    #Division by 0 will give error
    quotient = a // b
    print("Quotient is :", quotient)
#specify the error name
except :
    print("Divide by zero Error! ")

This will catch all errors possible