What are the most common problems your team had to fix?

The most common issues our team faced when working with Python include:

• Memory management errors and leaks, especially when working with large data volumes.
• Compatibility issues with library versions and dependencies.
• Incorrect exception handling, leading to application crashes.
• Errors in asynchronous code logic, such as improper use of asyncio.
• Performance problems due to suboptimal algorithms or excessive loops.

Example of resolving an exception handling issue:

try:
    result = 10 / divisor
except ZeroDivisionError:
    result = None  # Handling division by zero

Such errors are often identified during testing and require careful code analysis.