🛠️Errors & Exceptions
We can make certain mistakes while writing a program that lead to errors when we try to run it. A Python program terminates as soon as it encounters an unhandled error. These errors can be broadly classified into two classes:
Syntax errors
Logical errors (Exceptions)
Syntax Errors
Error caused by not following the proper structure (syntax) of the language is called syntax error or parsing error.
Let's look at one example:
As shown in the example, an arrow indicates where the parser ran into the syntax error.
We can see here that a colon :
is missing in the if
statement.
Logical Errors (Exceptions)
Errors that occur at runtime (after passing the syntax test) are called exceptions or logical errors.
For instance, they occur when we try to open a file(for reading) that does not exist (FileNotFoundError
), try to divide a number by zero (ZeroDivisionError
), or try to import a module that does not exist (ImportError
).
Whenever these types of runtime errors occur, Python creates an exception object. If not handled properly, it prints a traceback
to that error along with some details about why that error occurred.
Let's look at how Python treats these errors:
Built-in Exceptions
Erroneous operations can raise exceptions. There are plenty of built-in exceptions in Python that are raised when corresponding errors occur.
The table below shows built-in exceptions that are usually raised in Python:
Exception Handling
Python has many built-in exceptions that are raised when your program encounters an error (something in the program goes wrong).
When these exceptions occur, the Python interpreter stops the current process and passes it to the calling process until it is handled. If not handled, the program will crash.
For example, let us consider a program where we have a function A that calls function B , which in turn calls function C. If an exception occurs in function C but is not handled in C, the exception passes to B and then to A .
If never handled, an error message is displayed and our program comes to a sudden unexpected halt.
Catching Exceptions in Python
In Python, exceptions can be handled using a try statement.
The critical operation which can raise an exception is placed inside the try
clause. The code that handles the exceptions is written in the except
clause.
We can thus choose what operations to perform once we have caught the exception. Here is a simple example.
In this program, we loop through the values of the randomList
list. As previously mentioned, the portion that can cause an exception is placed inside the try block.
If no exception occurs, the except block is skipped and normal flow continues(for last value). But if any exception occurs, it is caught by the except block (first and second values).
Here, we print the name of the exception using the exc_info()
function inside sys
module. We can see that a causes ValueError
and 0 causes ZeroDivisionError
.
Since every exception in Python inherits from the base Exception
class, we can also perform the above task in the following way:
Catching Specific Exceptions
In the above example, we did not mention any specific exception in the except clause.
This is not a good programming practice as it will catch all exceptions and handle every case in the same way. We can specify which exceptions an except clause should catch.
A try
clause can have any number of except clauses to handle different exceptions, however, only one will be executed in case an exception occurs.
We can use a tuple of values to specify multiple exceptions in an except clause. Here is an example pseudo code:
Raising Exceptions in Python
In Python programming, exceptions are raised when errors occur at runtime. We can also manually raise exceptions using the raise
keyword.
We can optionally pass values to the exception to clarify why that exception was raised.
try with else clause
In some situations, you might want to run a certain block of code if the code block inside try
ran without any errors. For these cases, you can use the optional else
keyword with the try
statement.
Note: Exceptions in the else clause are not handled by the preceding except clauses.
Let's look at an example:
Output
If we pass an odd number:
If we pass an even number, the reciprocal is computed and displayed.
However, if we pass 0, we get ZeroDivisionError
as the code block inside else is not handled by preceding except.
try...finally
The try
statement in Python can have an optional finally
clause. This clause is executed no matter what, and is generally used to release external resources.
For example, we may be connected to a remote data center through the network or working with a file or a Graphical User Interface (GUI).
In all these circumstances, we must clean up the resource before the program comes to a halt whether it successfully ran or not. These actions (closing a file, GUI or disconnecting from network) are performed in the finally clause to guarantee the execution.
Here is an example of file operations to illustrate this.
Summary
After seeing the difference between syntax errors and exceptions, you learned about various ways to raise, catch, and handle exceptions in Python. Let's recap:
raise
allows you to throw an exception at any time.assert
enables you to verify if a certain condition is met and throw an exception if it isn’t.In the
try
clause, all statements are executed until an exception is encountered.except
is used to catch and handle the exception(s) that are encountered in the try clause.else
lets you code sections that should run only when no exceptions are encountered in the try clause.finally
enables you to execute sections of code that should always run, with or without any previously encountered exceptions.
Last updated