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Python Error Handling: Catch and Resolve Exceptions

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Python Error Handling: Catch and Resolve Exceptions
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Python Error Handling is a crucial aspect of programming. When writing code, it's inevitable that errors and exceptions will occur. Understanding how to catch and resolve these issues effectively can save you time, improve your code, and prevent program crashes.
Python Error Handling uses the try, except blocks. The try block contains the code that may cause an exception. The except block catches the error and includes code to resolve it, or handle it gracefully.
When an exception is raised, Python searches for the first except block that matches the exception type. Once found, the code inside that except block runs. This process allows you to separate error handling logic from normal code.
Here's an example:
```python
try:
# Code that may raise an exception
x = 5
y = int('hello')
except ValueError:
# Code to run when the ValueError exception is raised
print("An error occurred.")
x = 0
```
In this example, attempting to convert the string 'hello' to an integer using int() raises a ValueError. By catching the ValueError exception, we can print an error message and set x to 0 instead, allowing the program to continue.
Error handling not only prevents crashes but also improves the user experience. By anticipating potential errors and handling them gracefully, you can create robust and reliable software.
Additional Resources:
#Python #PythonProgramming #ErrorHandling #PythonExceptionHandling #STEM #Programming #Technology
Find this and all other slideshows for free on our website:
💥💥 GET FULL SOURCE CODE AT THIS LINK 👇👇
Python Error Handling is a crucial aspect of programming. When writing code, it's inevitable that errors and exceptions will occur. Understanding how to catch and resolve these issues effectively can save you time, improve your code, and prevent program crashes.
Python Error Handling uses the try, except blocks. The try block contains the code that may cause an exception. The except block catches the error and includes code to resolve it, or handle it gracefully.
When an exception is raised, Python searches for the first except block that matches the exception type. Once found, the code inside that except block runs. This process allows you to separate error handling logic from normal code.
Here's an example:
```python
try:
# Code that may raise an exception
x = 5
y = int('hello')
except ValueError:
# Code to run when the ValueError exception is raised
print("An error occurred.")
x = 0
```
In this example, attempting to convert the string 'hello' to an integer using int() raises a ValueError. By catching the ValueError exception, we can print an error message and set x to 0 instead, allowing the program to continue.
Error handling not only prevents crashes but also improves the user experience. By anticipating potential errors and handling them gracefully, you can create robust and reliable software.
Additional Resources:
#Python #PythonProgramming #ErrorHandling #PythonExceptionHandling #STEM #Programming #Technology
Find this and all other slideshows for free on our website: