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Data Science: From School to Work, Part III
- Error handling is a critical part of building robust applications, preventing crashes and inconsistent data.
- Proper error handling in Python involves try-except blocks, raising exceptions, and using the finally statement for cleanup actions.
- Specific exceptions like ZeroDivisionError, KeyError, IndexError, TypeError, and FileNotFoundError should be caught and handled.
- Custom errors can also be defined and raised in Python code.
- The finally block executes cleanup actions regardless of errors occurring or not.
- Best practices for error handling include catching specific exceptions, providing explicit messages, avoiding silent failures, and using else and finally blocks.
- Logs are essential for tracking events during program execution, debugging, and monitoring application health.
- The loguru package in Python simplifies logging with different levels like DEBUG, INFO, ERROR, and CRITICAL, allowing for better message formatting.
- New log levels can be defined, and configurations like sink, level, format, filter, colorize, and serialize can be customized in loguru.
- Adding context data like user IDs to logs and using child loggers in loguru can help in troubleshooting complex applications.
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