PYTHON LESSON
Multithreading Basics
Threads run tasks concurrently, best for I/O waits.
Use for network/file waiting tasks.
Assuming CPU speedup from threads.
Read this next
You will study Multithreading Basics. It belongs to the Advanced Engineering phase.
Remember this:
Threads run tasks concurrently, best for I/O waits.
Practice step by step. Do not rush. Each run should show you something new.
Tip:
Use for network/file waiting tasks.
Avoid this:
Assuming CPU speedup from threads.
Your challenge:
Fetch multiple URLs with threads.
Go to the challenge lab below. Fix errors until the output looks right. Then press the green button to complete the topic.
Example code
Copy this example if it helps. Change it so it matches Multithreading Basics.
# Topic: Multithreading Basics
def main():
sample = "edit me"
# TODO: apply Multithreading Basics concept here
result = sample
print("Result:", result)
if __name__ == "__main__":
main()
Challenge
Fetch multiple URLs with threads.
Before you can finish: your output should include at least 16 characters; at least 1 non-empty line(s); no crash traceback—fix errors until the program runs cleanly.
Use Run. Read the output. Change your code until the task is done.
Starter reference
# Challenge starter for Multithreading Basics
def solve():
# Write your solution here
pass
print("Update solve() and run")Your code
The first Run may load Python in your browser (one-time). Later runs are faster.