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Digital · Guided lesson

Trace a linear search

About 12 minutes · 4 reading + 8 practice and checks
Time includes reading, practice, and questions. Extra videos or further study are optional.
See this course’s project requirements

A tested Python catalog search with linear and binary methods, comparison counts, sortedness checks and a justified method choice.

Keep your working files in your own notebook or software. Save a private description, checklist, and work link in My Proof.

What to include

  • A three-case lookup contract with results 5,-1,-1.
  • A linear-search trace with six and seven comparisons.
  • A sortedness rule and two-step interval trace.
  • A terminating binary-search implementation and boundary trace.
  • A cost comparison distinguishing lookup from total work.
  • A checked algorithm-comparison packet with honest measurement limits.

Review and revise

Use these criteria to check your work and choose what to improve.

  • The implementation or declared simulation follows the supplied contract and retains inspectable original inputs.
  • Normal, boundary and rejected cases are recorded with expected versus observed results.
  • The changed case has a correct explanation and does not rely on hidden state.
  • The project includes source, outputs, instructions and honest tool, privacy and verification limits.
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Before you begin

The idea in everyday life

Use the same seven IDs. The supplied linear function compares left to right.

The idea

Linear search compares records in order and stops at the first match. Its correctness does not depend on sorted input; its worst case examines every record.

Follow along

Trace a linear search — original worked practice

Linear search compares records in order and stops at the first match. Its correctness does not depend on sorted input; its worst case examines every record.

Use the same seven IDs. The supplied linear function compares left to right.

  1. 1. Step 1

    Trace 12,18,25,31,44 before 52.

    You should see: Five failed comparisons precede the match.

    This keeps the rule and its observable result together.

  2. 2. Step 2

    Count the comparison with 52.

    You should see: The match takes six comparisons and returns 5.

    This keeps the rule and its observable result together.

  3. 3. Step 3

    Trace missing 30 through every ID.

    You should see: Seven comparisons produce -1.

    This keeps the rule and its observable result together.

  4. 4. Step 4

    Run or trace the supplied function and record both cases.

    You should see: A linear-search trace with six and seven comparisons.

    This keeps the rule and its observable result together.

Now change one thing

Search for 12 instead. Enter the number of comparisons.

Your work

What to finish

A linear-search trace with six and seven comparisons.

Common mistake

Watch for this

Using a zero-based index as if it were the count of comparisons; index 5 requires six sequential checks.

How can I tell I understand it?

Explain and demonstrate the required distinction: Linear search compares records in order and stops at the first match. Its correctness does not depend on sorted input; its worst case examines every record. Show a changed input and the expected result without weakening this contract.

Try 3 questions

Quick knowledge check

Answer all 3 questions. Get at least 2 right and the lesson completes automatically.

Not yet passed

You’ll get an explanation for each answer. Signed in? Your results save to your account.

1How many linear comparisons locate 52 here?
2Does this linear lookup require sorted IDs?
3The target is absent from a 10-record list. What is the worst-case comparison count?
0 of 3 answeredApply the lesson to a short question, then review the explanation.
2
Finish this lesson

Pass the check. We’ll save the progress.

Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.

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Sources and further reading

Explore the references behind this lesson.

docs.python.org — data structures.html
Source & access notes · checked 2026-10-01

Relevant documented module/API behavior inspected during expansion authoring; actual execution evidence is recorded separately. No grant eligibility is established.

Access: Official page retrieved with the web reader on 2026-10-01. Documentation reading does not certify execution in every native tool or browser.

Reuse: Original local practice files, fictional data, worked examples and questions. Concepts paraphrased and linked; source exercises are not copied.

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