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Run, inspect, repair

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Python words in plain language

Assignment and type
frames = 96 binds a name to an integer. "96" is text, not the same numeric value. Values and names.
List and index
A list keeps items in order. Positions start at zero; the final nonnegative index is length minus one. List lookups.
Loop and indentation
A for loop processes each item. Indentation groups its repeated statements; a statement outside the block runs separately. Loops.
Parameter, argument and Return
A parameter names an input in a definition; an argument supplies its value in a call. Return gives a result to the caller; print displays it. A function that only prints returns None. Functions.
Dictionary and schema
A dictionary labels values with keys. A schema states the required fields and types; a missing fact is not automatically zero. Dictionaries · Validation.
File, CSV and JSONL
A file stores bytes/text. CSV needs a quoting-aware parser; JSONL contains one JSON value per line. Browser practice files are temporary, not computer files. CSV · JSONL.
Denominator and evidence
A rate divides a count by its declared eligible total. Keep exclusions visible. A quiz score, practical check and self-review are different evidence. Quality rates.

Read the error, then make one repair

SyntaxError / IndentationError
Python could not parse the code. Inspect the named line and the preceding line for a missing colon, unmatched quote/bracket or inconsistent indentation. Review blocks.
NameError
A name has no value here. Compare case and spelling, and check that assignment happens before use. Do not replace an unknown parameter with a fixed sample.
TypeError / ValueError
A wrong kind of value or an unacceptable value can fail an operation. Inspect the supplied input and declared policy; do not broadly suppress the error. Narrow error handling.
IndexError / KeyError
The requested position or key is missing. Inspect the collection and interface instead of guessing a fallback. Indices · Keys.
Run stays loading / runtime or checker unavailable
This is not proof that your answer is wrong. Stop if available, copy your draft, check your connection and retry. If it repeats, keep the visible error and use the readable lesson/hints. Never reset or clear browser storage as the first repair.
Expected sample prints, but a check fails
Read the named contract and test changed/empty inputs. The helper may return None, use a fixed value or stop too early even when the sample looks right. A failed check is not a request to copy the expected output.

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← Route Week 3 · Day 14 of 40

Exceptions

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Lesson idea Tap to fold
Recall

Why did Day 13 use int(parts[1])?

Show the answer

split() returns text. int() converts the frame field into a number.

Today

Recover from expected bad data, not every failure

int("unknown") raises ValueError because the text does not describe an integer. A try block attempts that risky operation; except ValueError names the expected failure and its fallback. Keep the guarded operation small so you know what failed.

Put the guard inside a loop when one bad row should be reported and the next row should still run. An empty list has no rows to report. "0" is valid numeric text, not a failed conversion. Negative integer text also converts; whether a negative count is acceptable is a separate domain rule.

Do not catch every exception just to get a quiet report. A misspelled variable raises NameError and an unexpected None argument to int raises TypeError. Those programming/caller errors should remain visible under this exercise’s policy.

# Attempt each row independently.
raw_values = ["96", "unknown", "0"]
for raw in raw_values:
    try:
        frames = int(raw)
    except ValueError:
        print("Skipped bad row")
    else:
        print(frames)

The lines are 96, Skipped bad row and 0. try/except/else runs else only when the conversion succeeds; the existing exercises may print inside try instead. Both can preserve this behavior.

Watch a batch continue, repair the exception name, fill a narrow guard, then write your own conversion policy. Test valid zero as well as invalid text.

Predict, explain, then test

These three brief checks are self-reviewed, not a scored quiz. Explain your answer before opening the comparison. Coding checks test the stated data contract on unfamiliar inputs.

Distinguish zero

Should int("0") take the ValueError fallback?

Compare your answer · self-reviewed

No. Zero is a valid integer. Bad numeric text is not the same as a valid zero value.

Place the guard

Why keep try/except inside the loop instead of around the entire batch?

Compare your answer · self-reviewed

An expected bad row is handled individually and the next row is still attempted. Catching outside the loop abandons the remaining iterations.

Catch narrowly

Should except Exception hide a misspelled variable name?

Compare your answer · self-reviewed

No. NameError is a programming error, not invalid numeric text. Catch the expected ValueError; let unrelated failures remain visible.

Now

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day-14.py standard Python · runs in this browser
Output

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