B.Tech • Chapter 7

Exception Handling & Logging

B.Tech level module on Exception Handling & Logging.

6 note blocks4 exam topics

🎯 Exam Focus Areas

Evaluate time complexity of related algorithms.Understand memory management and background architecture.Analyze code snippets for bugs or inefficiencies.Explain theoretical concepts with real-world technical examples.

Robust software must anticipate and gracefully recover from failures. Python's try-except-else-finally blocks provide a structured way to handle runtime anomalies.

Advanced Engineering Concepts

Instead of crashing, exceptions allow the program to jump to an error-handling block. The 'finally' block is executed no matter what, making it essential for releasing locks or closing network connections. In enterprise applications, print() is insufficient; the built-in 'logging' module is used to track events, warnings, and critical errors across different severity levels.

1Understand the Big O time and space complexities involved.
2Ensure memory leaks and race conditions are mitigated.
3Adhere to PEP 8 standards for clean, readable code.
4Utilize unit testing to verify algorithmic correctness.

Code Implementation

import logging

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

def divide(a, b):
    try:
        result = a / b
    except ZeroDivisionError as e:
        logging.error(f"Attempted to divide by zero: {e}")
        return None
    except TypeError as e:
        logging.critical(f"Invalid data types provided: {e}")
        raise
    else:
        logging.info(f"Division successful: {result}")
        return result
    finally:
        logging.debug("Division operation completed.")

divide(10, 0)

📝 Quick Revision Points

1Review the CPython implementation details.
2Practice the code snippets until syntax is committed to memory.
3Test edge cases and exception handling.
4Understand trade-offs between different data structures.

← PreviousFile I/O and Serialization Next →OOP: Classes, Objects, & Dunder Methods

Loading notes...

import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') def divide(a, b): try: result = a / b except ZeroDivisionError as e: logging.error(f"Attempted to divide by zero: {e}") return None except TypeError as e: logging.critical(f"Invalid data types provided: {e}") raise else: logging.info(f"Division successful: {result}") return result finally: logging.debug("Division operation completed.") divide(10, 0)