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Python Advanced: Code That Scales Past Your Own Laptop
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Python Advanced: Code That Scales Past Your Own Laptop

Final Check: Python Advanced

Fifteen questions across the whole course: closures, decorators, generators, context managers, typing, concurrency, packaging and profiling. If you pass this, you can make the calls that decide whether Python code holds up past your own laptop.

15 min PythonPerformance OptimizationType SystemsProgramming PatternsPackaging and Dependencies Advanced
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1. Which statement about closures is correct?
A closure copies the values of outer variables when it is created. A closure keeps access to the variables of the function that created it, even after that function returns. Closures only work with lambda.
2. What is @timed above def report(): equivalent to?
report = timed(report) report = report(timed) timed() is called every time report() runs, without wrapping anything.
3. Your @logged decorator catches exceptions, logs them, and returns None. What is wrong with it?
Nothing. Logging the error is enough. It swallows errors. It should log them and re-raise so the caller still sees the failure. It should use print instead of logging.
4. Which retry rule is safest?
Retry every exception up to 10 times. Retry only errors that can fix themselves, like timeouts, and only actions that are safe to repeat. Never retry anything.
5. A for loop calls two functions behind the scenes. Which?
open() and close() iter() once, then next() until StopIteration len() and range()
6. You need to process a file bigger than your RAM and only keep the totals. Which design fits?
A pipeline of generators that reads line by line and updates the totals. Load the file into a list, then filter it. Convert the file to JSON first.
7. What does print(gen) show for a generator?
The values it will produce. Something like <generator object name at 0x...> An error.
8. Which tool makes sure a temporary file is removed even if the code that uses it fails?
A comment reminding people to delete it. A context manager, like tempfile.TemporaryDirectory or your own with try/finally. A global list of files to delete at the end.
9. Which hint says "a str, or nothing"?
str = None str Any
10. What does a Protocol let you express?
That a class must inherit from a specific base class. That an argument can be anything with certain methods, without inheriting from anything. That a function runs faster.
11. Your team wants mypy on a large old project. What works best?
Turn on strict mode for everything on day one. Start with defaults, fix real bugs, hint new and touched code, then tighten step by step, one package at a time. Wait until every function has hints, then run it once.
12. Which job suits ProcessPoolExecutor?
Downloading 200 files. Resizing 200 large images in pure Python. Waiting for a database query.
13. Without a timeout, one supplier API in your asyncio gather never responds. When does your script finish?
After the slowest of the other suppliers. Possibly never, because gather waits for the task that never completes. Immediately. asyncio cancels slow tasks.
14. Before publishing a wheel, what should you check inside it?
That it has a nice icon. That no secrets or private data, like .env files or customer exports, ended up in it. That it is bigger than 1 MB.
15. In cProfile output, which column shows time spent inside a function itself, not counting the functions it calls?
cumtime tottime ncalls

About

Fifteen questions across the whole course: closures, decorators, generators, context managers, typing, concurrency, packaging and profiling. If you pass this, you can make the calls that decide whether Python code holds up past your own laptop.

Duration
15 min
Last update
09/02/2026
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