Exceptions

 Exceptions

In Python, exceptions are a way to handle unexpected or exceptional situations in your code. When a Python script encounters an error during its execution, it raises an exception. Handling these exceptions allows you to gracefully manage errors and prevent your program from crashing.


Here's a basic overview of exceptions in Python:


### 1. Raising an Exception:


You can raise an exception explicitly using the `raise` keyword. For example:


```python

x = 10

if x > 5:

    raise Exception("x should not be greater than 5")

```


### 2. Built-in Exceptions:


Python has many built-in exceptions like `TypeError`, `ValueError`, and `ZeroDivisionError`. You can catch these exceptions and handle them gracefully in your code.


### 3. Try-Except Blocks:


You can catch exceptions using `try` and `except` blocks. Code inside the `try` block is executed, and if an exception is raised, it is caught by an `except` block that handles the specific exception.


```python

try:

    result = 10 / 0

except ZeroDivisionError:

    print("Cannot divide by zero!")

```


You can also catch multiple exceptions or a generic exception:


```python

try:

    # code that might raise an exception

except (TypeError, ValueError):

    # handle multiple exceptions

except Exception as e:

    # handle any other exceptions and access the exception object using 'e'

```


### 4. Finally Block:


You can use a `finally` block to specify code that will be executed regardless of whether an exception was raised or not.


```python

try:

    # code that might raise an exception

except Exception:

    # handle the exception

finally:

    # this block will always be executed

```



### 5. Assertions:


Assertions are used to test if a condition is true. If it's false, the interpreter raises an `AssertionError` exception.


```python

x = 10

assert x > 0, "x should be greater than 0"

```


Remember that while exceptions are a powerful way to handle errors, it's important to handle them properly and provide meaningful error messages to aid in debugging.


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