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Conditions and LoopsLesson 11 of 32

Build a Practical Conditions and Loops Example in Python Fundamentals

Build the module-specific task for Conditions and Loops and verify the expected artifact with a concrete result. This lesson produces a concrete artifact. Build the smallest useful implementation, run it, change one meaningful condition, and verify the result with module-specific evidence.

30 min Foundation Conditions and LoopsReviewed 2026-08-07
Learning objectives

What you will learn

  • Build the module-specific task for Conditions and Loops and verify the expected artifact with a concrete result.
  • Produce or inspect a working conditions and loops example with an explicit success and failure check.
  • Verify the result with the relevant output, test, log, query result, or rendered state for Conditions and Loops.
Before you start

What you need

  • Open a small local project or disposable lab environment.
  • Confirm the runtime, toolchain, or service needed for the module.
  • Prepare one valid input and one invalid or boundary input.

Define the build target

For Conditions and Loops, process a small list, select values that meet a condition, and stop or continue based on a clear rule. Build the boundary case using this implementation lens: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful.

Keep the Conditions and Loops build centered on these technical constraints: Comparison and boolean operators. If/else branches. Apply them through this path lens: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful. Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful.

Implement the core behavior

Implement Conditions and Loops around the module artifact—a working conditions and loops example with an explicit success and failure check—and keep the implementation specific to this path context: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful.

Technical examplepython
scores = [72, 91, 48, 86]
passed = []
for score in scores:
    if score >= 60:
        passed.append(score)
print(passed)
Run or inspect
python3 example.py
Expected evidence
A concrete value or error that can be compared with the expected behavior.
Practice workspace
practice/\n├── README.md\n├── conditions-and-loops-build.py\n└── evidence/\n    └── expected-result.txt
Challenge

Apply Conditions and Loops

Build the module-specific task for Conditions and Loops and verify the expected artifact with a concrete result.

  • Use the lesson-specific technical example as a reference, not a copy.
  • Change one condition that matters to Conditions and Loops.
  • Verify the result with the relevant output, test, log, query result, or rendered state for Conditions and Loops.

Run the complete path

Run one realistic Conditions and Loops case end to end and record the required evidence: the relevant output, test, log, query result, or rendered state for Conditions and Loops. Interpret the result through this path context: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful.

Change one meaningful condition

Modify one condition central to Conditions and Loops using this path context: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful. Predict the new result before rerunning the same workflow.

Verify the artifact

Your deliverable is a working conditions and loops example with an explicit success and failure check.

Verification checklist
  • The primary case works.
  • One boundary or failure case is handled intentionally.
  • The result is verified with the relevant output, test, log, query result, or rendered state for Conditions and Loops.
  • You can explain why the implementation behaves as observed.
Hands-on practice

Practice Conditions and Loops

For Conditions and Loops, process a small list, select values that meet a condition, and stop or continue based on a clear rule. Build the boundary case using this implementation lens: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful.

  1. 1

    Write the expected result before starting.

  2. 2

    For Conditions and Loops, process a small list, select values that meet a condition, and stop or continue based on a clear rule. Build the boundary case using this implementation lens: Use Python 3 runtime behavior, Python objects and collections, exceptions, modules, virtual environments, files, tests, and CPython-visible execution details where useful.

  3. 3

    Record the relevant output, test, log, query result, or rendered state for Conditions and Loops and explain whether it matches the expectation.

Interactive practice

Practice what you learned

Exercises are optional for lesson completion and contribute to a separate Practice Mastery score.

Practice Mastery0%
Exercise A · Core Check40% base masterypython

Core Check: Build a Practical Conditions and Loops Example in Python Fundamentals

Complete a focused exercise for “Build a Practical Conditions and Loops Example in Python Fundamentals”. Your task is to Express decisions and repetition with conditions and loops while keeping termination and boundary cases obvious. Use one concrete example and show evidence that the result is correct.

Verification target: a working conditions and loops example with an explicit success and failure check

Not completed

    Exercise B · Mini Challenge60% base masterypython

    Mini Challenge: Build a Practical Conditions and Loops Example in Python Fundamentals

    Extend “Build a Practical Conditions and Loops Example in Python Fundamentals” into a boundary or failure scenario. Start from this lesson task: Express decisions and repetition with conditions and loops while keeping termination and boundary cases obvious. Change one condition that matters, predict the outcome first, then show evidence that confirms or disproves the prediction.

    Verification target: a working conditions and loops example with an explicit success and failure check

    Not completed

      Common mistakes to avoid

      • Condition reversed.
      • Off-by-one boundary.
      • Loop never changes terminating state.
      • Truthy/falsy assumption hides invalid value.
      Lesson recap

      Key takeaways

      • Build the module-specific task for Conditions and Loops and verify the expected artifact with a concrete result.
      • Keep the exercise small enough to explain the important state and decision.
      • Use the relevant output, test, log, query result, or rendered state for Conditions and Loops rather than successful command completion alone.

      Frequently asked questions

      What should I be able to do before moving on?

      You should be able to explain the purpose of Conditions and Loops, build a small example without copying the lesson line by line, and diagnose a basic failure using the relevant tool or error output.

      How much should I build for practice?

      Keep the exercise small enough that you can explain every important input, state change, and output. Add complexity only after the core behavior is reliable.

      Evidence and updates

      Sources and further reading

      1. Python tutorialPython Software Foundation
      2. Python language referencePython Software Foundation
      3. Python standard libraryPython Software Foundation
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