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Articles by Sarika Singh
Page 6 of 14
How to catch OverflowError Exception in Python?
When an arithmetic operation exceeds the limits of the variable type, an OverflowError is raised. Long integers allocate more space as values grow, so they end up raising MemoryError. Floating point exception handling is not standardized, however. Regular integers are converted to long values as needed. Using try-except to Catch OverflowError You can use a try-except block to catch an OverflowError and prevent your program from crashing when a calculation overflows. Example: Catching an OverflowError In this example, we calculate a very large exponent which can cause an OverflowError on some systems, and catch it - try: ...
Read MoreHow do you handle an exception thrown by an except clause in Python?
In Python, sometimes an except block itself may raise an exception. Handling such exceptions properly is important to make sure that your program does not crash unexpectedly and to maintain clean error handling. Exceptions raised inside an except block can be handled by nesting try-except blocks within it. Exceptions Inside except Blocks An except block is meant to handle errors, but it can also raise exceptions if the code inside it causes errors. You need to handle these secondary exceptions to avoid program termination. Example In this example, the except block tries to divide by zero, which raises a new ...
Read MoreHow to capture and print Python exception message?
In Python, you can capture and print exception messages using try and except blocks in multiple ways, such as - Using the as keyword Using the type() function Using the traceback module Exception messages provide details about what went wrong, which is helpful for debugging and error handling. Using the 'as' Keyword You can assign the exception to a variable using the as keyword inside the except block. This allows you to access and print the actual error message. Example: Capturing ZeroDivisionError message In this example, ...
Read MoreWhat is the best way to log a Python exception?
The best way to log Python exceptions is by using the built-in logging module. It helps you track errors and debug your programs by capturing detailed error information. This module allows you to control where the logs are saved and organize them by their importance and source. Using logging.exception() function inside except blocks is an easy way to log errors along with the full traceback. Why Use the logging Module for Exceptions? The logging module allows you to save error messages with details like when they happened and how serious they are. It gives you more control and useful ...
Read MoreHow to use the ‘except clause’ with No Exceptions in Python?
In Python, the except clause is used to handle exceptions that may occur inside a try block. But what happens if no exceptions are raised? The except block is simply skipped. When No Exceptions Occur If the code inside the try block executes without raising any exceptions, the except block is ignored, and the program continues normally. Example: No exceptions raised In this example, we are performing a simple division that doesn't raise an exception, so the except block does not run - try: result = 10 / 2 print("Division successful:", result) except ZeroDivisionError: ...
Read MoreWhat is the correct way to pass an object with a custom exception in Python?
In Python, you can create your own custom exception classes to represent specific types of errors in your program. When you raise these custom exceptions, you can also pass an object (like a string or other data) to explain more about what went wrong. This helps make your error messages more useful and detailed. Creating a Custom Exception Class In Python, you can pass an object or any extra information with a custom exception by defining a class that inherits from the built-in Exception class. Inside the custom class, you override the __init__() method to accept additional arguments, and ...
Read MoreHow to catch ArithmeticError Exception in Python?
While executing the statements that perform arithmetic operations, if any operation results in an illegal value, an arithmetic exception occurs (run time).In Python, ArithmeticError represents this exception, and it is the base class for all errors that occur during arithmetic operations, such as division by zero, overflow, or floating-point errors. Catching this exception helps to manage errors that arise from calculations. Catching ArithmeticError with try-except Block You can use a try-except block in Python to catch ArithmeticError and handle errors related to arithmetic operations like division by zero or overflow. This allows your program to continue running smoothly even if ...
Read MoreHow to catch SyntaxError Exception in Python?
SyntaxError in Python occurs when the interpreter encounters invalid syntax, such as missing colons, unmatched parentheses, incorrect indentation, or invalid keywords. Since this error happens during the code compilation stage (before execution), it cannot be caught using a regular try-except block. To handle it, you must wrap the faulty code inside the exec() or compile() functions within a try-except block. Here, we are demonstarting the occurence of SyntaxError and handling it using the following methods - exec() Method compile() Method Using a custom function with exception handling ...
Read MoreHow to check if a substring is contained in another string in Python?
In Python, you can check whether a substring exists within another string using Python in operator, or string methods like find(), index(), and __contains__(). A string in Python is a sequence of characters that is enclosed in quotes. You can use either single quotes '...' or double quotes "..." to write a string, like this - "Hello" //double quotes 'Python' //single quote A substring in Python simply means a part of a string. For example, text = "Python" part = "tho" Here, "tho" is a substring of the string "Python". Using the in operator We can check ...
Read MoreWhy are Python exceptions named \\\"Error\\\" (e.g. ZeroDivisionError, NameError, TypeError)?
In Python, exception names usually end with "Error" (like ZeroDivisionError, NameError, and TypeError). This clearly shows that they are related to problems that happen while the program is running. Using this naming style makes error messages easier to read, helps with debugging. Why exceptions end with "Error" An exception is a kind of (run-time) error. Having the word "Error" in the name of the exception may help us realize that there is an issue when we encounter an exception. It follows a logical naming convention similar to other programming languages like Java and C++, that also use names ending in ...
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