Keywords for this issue: multithreading, multiprocessing, coroutines, performance tuning, debugging Difficulty: Beginner → Intermediate Practical
1. Basic Concurrency
1. Short Answer: What is the core difference between <span>threading</span> and <span>multiprocessing</span>?
2. Coding Question: Start a thread to execute a print task
import threading
def worker():
print("Worker thread is running")
# Complete the thread creation and start code
3. Q&A: In what situations does multithreading not improve performance in Python? What is the reason?
4. Multiprocessing Code Completion
from multiprocessing import Process
def task():
print("Multiprocessing task")
# Start a process to execute task
5. Short Answer: What are the two common methods for inter-process communication?
2. Coroutines and Asynchronous Programming
6. Basic Question: Write an asyncio coroutine function
import asyncio
async def hello():
print("Hello, asyncio!")
# Complete the code to run the coroutine
7. Q&A: What are the advantages of <span>asyncio</span> coroutines compared to multithreading?
8. Short Answer: Please list the three main ways to implement asynchronous programming in Python.
3. Performance and Optimization
9. Q&A: How can you quickly identify performance bottlenecks in code? Name two tools or methods.
10. Coding Question: Optimize the following inefficient list concatenation:
result = ""
for i in range(10000):
result += str(i)
11. Short Answer: What is the difference between shallow copy and deep copy in Python?
4. Debugging and Troubleshooting
12. Short Answer: How do you debug a Python program using <span>pdb</span>? List the basic commands.
13. Q&A: How can you check the installation path and version number of a module?
14. Coding Question: Complete the following exception handling logic:
try:
num = int("abc")
except _______:
print("Input is not a number")
15. Q&A: How do you locate memory leak issues in a Python program?
5. Coding Practices and Engineering
16. Short Answer: What is PEP8? Why is it important?
17. Q&A: What is the purpose of the <span>__name__ == "__main__"</span> statement?
18. Coding Question: Write a function that accepts parameters <span>*args</span> and <span>**kwargs</span> and prints them out.
19. Q&A: Explain the role of Python virtual environments and common management tools.
20. Comprehensive Question: Provide three best practices for ensuring stable operation of Python programs in a production environment.
Self-Assessment Reference
- ≥16 correct answers: Basic to intermediate level in concurrency, debugging, and engineering awareness
- 10-15 correct answers: Needs more practice in concurrency and performance optimization
- <10 correct answers: Solidify single-threaded foundations and debugging skills before transitioning to concurrency
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