When something goes wrong in Python, it shows a message called exception text that explains the error. You can save and use this text in your program to help with logging or fixing the problem later. You can get Python exception text using str() function, traceback module, logging, or the ... Read More

In Python, exceptions are not just error messages; they are actual objects. Understanding that exceptions are objects helps you work with them more effectively, such as accessing their attributes or creating custom exceptions. What do We mean by Exception is an Object? When an exception occurs, Python creates an instance ... Read More

In Python, you can create your own custom exceptions by defining a new class that inherits from the built-in Exception class (or one of its subclasses). This allows you to raise meaningful errors specific to your application's needs. Basic Custom Exception Custom exceptions make your code easy to understand and ... Read More

In Python 3, exception chaining allows one exception to be raised while preserving the context of the original exception. This provides a complete track, which makes it easy to understand how an error occurred during debugging. Python supports exception chaining explicitly using the raise ... from ... statement, or implicitly ... Read More

Whenever Python comes across a variable or name that is not defined in the local or global namespace, it raises a NameError. This helps in debugging and ensures that variables are properly declared before using it. There are various ways to catch and handle a NameError in Python. The most ... Read More

EOFError is commonly seen when a program tries to read input, but there is no data left to read. This can happen, for example, when input is redirected from a file or when the user provides no input and presses Ctrl+D (Unix) or Ctrl+Z (Windows). The best way to catch ... Read More

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 ... Read More

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 ... Read More

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 ... Read More

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() ... Read More