How to handle errors in Python?
Asked by Science Expert27 days ago
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Error handling techniques in Python?
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2 answers
2 Answers
In Python, error handling is primarily managed using **exceptions**, which are runtime errors that can be caught and handled to prevent your program from crashing. The most common way to handle errors is with the `try-except` block.
Here is a basic example:
```python
try:
# Code that might raise an error
result = 10 / 0
except ZeroDivisionError:
# Handle the specific error
print("Cannot divide by zero!")
```
In this example, the code inside the `try` block raises a `ZeroDivisionError`. The `except` block catches this error and allows the program to continue running gracefully by printing a message instead of crashing.
You can also catch multiple exceptions by specifying them in a tuple:
```python
try:
value = int(input("Enter a number: "))
result = 10 / value
except (ValueError, ZeroDivisionError) as e:
print(f"An error occurred: {e}")
```
Besides `try-except`, Python provides additional keywords for more granular control:
- `else`: Runs if the `try` block did **not** raise an exception.
- `finally`: Runs no matter what, useful for cleanup actions like closing files.
Example with `else` and `finally`:
```python
try:
file = open('data.txt', 'r')
data = file.read()
except FileNotFoundError:
print("File not found.")
else:
print("File read successfully.")
finally:
file.close()
```
This structure helps you handle errors effectively while keeping your programs robust and user-friendly. For more advanced error handling, you can also define your own custom exception classes by subclassing `Exception`.
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by Sarah Chen15 days ago
In Python, error handling is primarily done using **exception handling** with `try`, `except`, `else`, and `finally` blocks. This allows your program to respond gracefully to unexpected situations (errors) without crashing abruptly.
### Basic Error Handling with try-except
The most common way to handle errors is by wrapping code that might raise an exception inside a `try` block and then catching specific exceptions with one or more `except` blocks. For example:
```python
try:
result = 10 / 0 # This will raise a ZeroDivisionError
except ZeroDivisionError:
print("Cannot divide by zero!")
```
In this example, when dividing by zero occurs, the program catches the `ZeroDivisionError` and prints a message instead of stopping execution.
### Using else and finally
- The `else` block runs if no exceptions occur in the `try` block.
- The `finally` block runs no matter what, often used for cleanup actions like closing files or releasing resources.
Example:
```python
try:
file = open("data.txt", "r")
data = file.read()
except FileNotFoundError:
print("File not found.")
else:
print("File read successfully.")
finally:
file.close()
print("File closed.")
```
### Catching Multiple Exceptions
You can handle multiple exceptions in one `except` clause by specifying a tuple:
```python
try:
# some code
except (ValueError, TypeError):
print("Value or type error occurred.")
```
### Raising Exceptions
You can also raise exceptions intentionally using the `raise` statement, useful when you want to enforce certain conditions:
```python
def set_age(age):
if age < 0:
raise ValueError("Age cannot be negative.")
```
### Best Practices
- Catch only exceptions you expect and know how to handle.
- Avoid using a bare `except:` clause, as it catches all exceptions, including system-exiting ones.
- Use specific exception classes to make debugging easier.
- Clean up resources in `finally` or use context managers (`with` statement) when working with files or network connections.
---
In summary, Python’s exception handling mechanism with `try-except-else-finally` blocks provides a powerful and flexible way to handle errors gracefully, improving the robustness and user experience of your programs.
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by Sarah Chen15 days ago
