What potential problems or difficulties may arise when performing the assigned tasks?

When performing tasks in Python, the following issues may arise:

• Dependency management errors: incompatible library versions can lead to crashes.
• Performance problems: inefficient code or improper resource usage.
• Logic errors in the program: due to insufficient testing or misunderstanding of requirements.
• Exception handling issues: lack of proper error handling can cause crashes.
• Multithreading and asynchronous issues: incorrect use of threading or asyncio can cause data races or deadlocks.
• Python version compatibility issues: code written for one version may not work in another.

To minimize risks, it is important to write tests, use virtual environments, monitor dependencies, and carefully plan the application's architecture.