While try-except blocks are commonly used for error handling in Python, it's also worth considering the use of 'contextlib' and 'contextvars' modules. 'contextlib' provides utilities for working with context managers, including the 'contextmanager' decorator that allows you to define your own context managers without writing a full class. 'contextvars', on the other hand, introduces the concept of context variables, which are thread-local variables that can be used to track contextual information across different functions and async tasks. Leveraging these modules can lead to more efficient and flexible error handling strategies in Python.

Error handling in Python can also benefit from the use of the 'logging' module. Instead of relying solely on print statements, logging allows you to capture and record detailed information about the error. This information can be used for analysis, monitoring, and debugging purposes. Another approach is to raise custom exceptions when appropriate, allowing you to create meaningful error messages and handle specific situations in your code. Lastly, consider using try-except-else blocks to differentiate between code that may raise exceptions and code that should run only if no exceptions occur.

In Python, a common best practice for error handling is to use try-except blocks to catch and handle specific types of exceptions. By catching exceptions, you can gracefully handle errors and prevent your program from crashing. Additionally, it's recommended to log error messages to aid in debugging and troubleshooting. Another useful technique is to use context managers, such as the 'with' statement, to ensure that resources are properly released even in the event of an exception.