PYTHON LESSON
Generators
Generator yields lazily and remembers state between yields.
Use for memory-efficient pipelines.
Expecting random access like list.
Read this next
This lesson is about Generators. You are in the Advanced Engineering part of the course.
Main idea:
Generator yields lazily and remembers state between yields.
How to learn it: type a very small program first. Run it. Change one line and run again.
Tip:
Use for memory-efficient pipelines.
Common mistake:
Expecting random access like list.
Your challenge:
Yield first n even numbers.
Scroll down to the challenge lab. Run your code there. When the output meets the task and the checks pass, press the green button to finish this topic.
Example code
Copy this example if it helps. Change it so it matches Generators.
# Topic: Generators
def main():
sample = "edit me"
# TODO: apply Generators concept here
result = sample
print("Result:", result)
if __name__ == "__main__":
main()
Challenge
Yield first n even numbers.
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 Generators
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.