Today we’re going to talk about fault handling in Python and how you can make it easier for yourself (and others) when unexpected errors occur during program execution.

First things first: what is fault handling? It’s simply the process of detecting and responding to unexpected events or errors that occur during program execution.In Python, there are a few ways we can handle these situations but let’s start with one of the most popular ones: dumping tracebacks using the “faulthandler” module.

Now, if you’re not familiar with what a traceback is, it’s essentially an error message that provides us with detailed information about the error itself. By default, Python writes these messages to “sys.stderr,” which means we need to run our application in the terminal to see them. But by enabling “faulthandler” at startup (which can be done using a log file), we can dump tracebacks whenever an exception occurs during program execution even if Python crashes or deadlocks.

To enable this feature, simply add the following line of code at the beginning of your script:

# Import the "faulthandler" module
import faulthandler

# Enable the "faulthandler" feature
faulthandler.enable()

# This line of code enables the "faulthandler" feature at the beginning of the script, allowing for tracebacks to be dumped whenever an exception occurs during program execution, even if Python crashes or deadlocks. This is useful for debugging and troubleshooting purposes.

This will allow us to see a dump of all tracebacks that occur during program execution which can be incredibly helpful for debugging purposes. But what’s so great about seeing a dump of all tracebacks? Well, for starters, it can help us identify the exact location and cause of an error. This information can then be used to fix the problem and prevent similar errors from occurring in the future.

But let’s not forget that Python also provides other fault handling techniques such as using the “pdb” module (which is essentially a built-in debugger) or the “traceback” module for formatting stack traces. These tools can be incredibly helpful when it comes to identifying and fixing errors, but they require more advanced knowledge of Python programming.

So next time you’re faced with a frustrating error message, remember: Python has got your back!