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Troubleshooting is the most common way of recognizing and fixing blunders or bugs in a program. Python gives a few devices and methods to troubleshooting, which can help you find and resolve issues in your code. Here are a few generally involved strategies for troubleshooting in Python:

Printing and Logging: One of the most straightforward ways of troubleshooting is by adding print proclamations or utilizing the print() capability to show variable qualities or middle of the road results at different places in your code. You can likewise utilize the logging module to print messages with various seriousness levels.

Utilizing the pdb module: Python accompanies an inherent debugger called pdb (Python Debugger). You can import the pdb module and supplement the pdb.set_trace() articulation at the line where you need to begin investigating. This will send off the debugger, permitting you to step through your code line by line, review factors, and execute proclamations intelligently.

Incorporated Advancement Conditions (IDEs): IDEs like PyCharm, Visual Studio Code, or PyDev offer strong investigating highlights. They give graphical points of interaction to setting breakpoints, venturing through code, analyzing factors, and assessing the call stack. These devices frequently have extra highlights like watches, which permit you to screen explicit factors or articulations during execution.

Troubleshooting with pdb from the order line: Assuming that you like to investigate from the order line, you can execute your content with the - m pdb choice. For instance, python - m pdb my_script.py will send off the debugger prior to executing your code.

Declaration proclamations: You can utilize the affirm explanation to confirm that specific circumstances turn out as expected at explicit places in your code. On the off chance that the condition assesses to Misleading, it will raise an AssertionError, permitting you to distinguish surprising way of behaving or mistaken presumptions.

Troubleshooting devices and libraries: Python offers different outsider investigating libraries, for example, pdb++, ipdb, and pudb, which give improved highlights and a more easy to understand troubleshooting experience contrasted with the implicit pdb module.

Keep in mind, troubleshooting is in many cases an iterative cycle. Begin by reducing the trouble spot and afterward utilize these methods to research further. Likewise, perusing mistake messages and utilizing a deliberate methodology can help you pinpoint and resolve gives all the more proficiently.

For more information:- https://developers.knowivate.com/@kheersagar/debugging-in-python-how-to-diagnose-and-fix-errors-in-your-python-code