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Challenge:
Debugging and troubleshooting involve identifying and fixing software issues, but they come with challenges such as unclear documentation, inconsistent coding practices, high coupling, insufficient logging, lack of automated tests, performance inefficiencies, and poor version control. Effective debugging requires structured code, meaningful logging, robust error handling, thorough testing, and proper version control to streamline issue resolution and maintain software quality.
Problem:
Bugs and errors are inevitable. The challenge lies in tracking down the source of the issue, especially in large or complex systems.
Solution:
Use debugging tools: Python has built-in debugging tools like pdb. IDEs like PyCharm and VS Code also provide powerful debugging features.
Logging: Implement detailed logging to track application behavior. Libraries like Python’s logging module help capture and debug errors.
Error handling: Use exception handling (try-except in Python) to anticipate common errors and prevent the app from crashing
Logging: Implement detailed logging to track application behavior. Libraries like Python’s logging module help capture and debug errors.
Error handling: Use exception handling (try-except in Python) to anticipate common errors and prevent the app from crashing