🚫 Python Errors and Exception Handling
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🛡️ Python try...except Block – Handle Exceptions Gracefully

🧲 Introduction – Why Use try...except in Python?

Python programs sometimes encounter unexpected situations like missing files, bad user input, or network errors. Without handling these exceptions, your program will crash.

The try...except block lets you catch and manage exceptions so your app can continue running or provide a friendly error message.

🎯 In this guide, you’ll learn:

  • How to use try, except, else, and finally
  • Common real-world use cases
  • Best practices for robust exception handling

✅ Basic Syntax of try...except

try:
    # risky operation
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")

Explanation:

  • Python tries to execute the code inside try.
  • If it raises a ZeroDivisionError, control jumps to the except block.

🔁 Extended Structure: try...except...else...finally

try:
    x = int(input("Enter a number: "))
except ValueError:
    print("Not a valid number.")
else:
    print("You entered:", x)
finally:
    print("Execution completed.")

Components:

  • try: Run this code.
  • except: Handle specific errors.
  • else: Run if no error occurs.
  • finally: Always runs (used for cleanup, logging, etc.).

🧪 Catching Multiple Exceptions

try:
    a = int("ten")
    b = 10 / 0
except ValueError:
    print("Value error occurred!")
except ZeroDivisionError:
    print("Division by zero!")

Explanation:

  • You can have multiple except blocks for handling different error types.

✅ Or Combine Them

try:
    risky_code()
except (ValueError, TypeError) as e:
    print("Caught error:", e)

Explanation:

  • Catches multiple error types in one block.

🔄 Generic Exception Handling (with Caution)

try:
    risky_code()
except Exception as e:
    print("An error occurred:", e)

⚠️ Warning: Catching all exceptions (Exception) can mask bugs. Use for logging or fallback logic—not for debugging.


🛠️ Real-World Use Case – File Handling

try:
    with open("data.txt", "r") as f:
        content = f.read()
except FileNotFoundError:
    print("File not found!")

✅ Prevents crashing if file is missing.


💡 Best Practices

  • ✅ Catch specific exceptions (not except: blindly).
  • ✅ Use finally for cleanup (e.g., closing a file or DB connection).
  • ✅ Log exceptions or report meaningful messages to users.
  • ❌ Don’t suppress errors silently—use print() or logging.

📌 Summary – Recap & Next Steps

The try...except block is Python’s way to gracefully recover from runtime errors. Whether you’re reading files, parsing input, or calling external APIs, it ensures your program doesn’t crash due to unexpected issues.

🔍 Key Takeaways:

  • ✅ Wrap risky code in try.
  • ✅ Use except to handle known errors.
  • else runs if no error occurs.
  • finally runs always, perfect for clean-up tasks.

⚙️ Real-World Relevance:
Essential in file operations, user input validation, network requests, database queries, and automation scripts.


❓ FAQ Section – Python try...except

❓ What is try...except used for in Python?

✅ It’s used to handle exceptions and prevent your program from crashing due to runtime errors.

❓ Can I catch multiple exceptions in one block?

✅ Yes:

except (ValueError, TypeError):

❓ Is finally always executed?

✅ Yes, whether an exception occurred or not.

❓ What does else do in try...except?

✅ Executes only if no exception occurred in the try block.

❓ Should I use except: with no error specified?

❌ Avoid it unless absolutely necessary. Always catch specific exceptions when possible.


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