PYTHON-04 · Secondary · ENGLISH · PLANNED
Predict the output, trace state, write a small program and debug it.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Python | Files, Errors and Standard Library
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Sign in to save this learning pathPractical outcome: Read and summarise a provided local fictional expense file.
Explain paths using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain reading text files using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain writing text files using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain with blocks using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Use the first concepts from this section. Read and summarise a provided local fictional expense file. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain encodings using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain csv reading using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain csv writing using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain json encoding using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Explain json decoding using a visual and one worked real-world example. Context: Read and summarise a provided local fictional expense file. End with a prediction or check-for-understanding.
Read and summarise a provided local fictional expense file. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Paths, Reading text files, Writing text files and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Make a toy importer report malformed rows without hiding failures.
Explain exceptions using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Explain try and except using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Explain specific exception types using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Explain else and finally using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Use the first concepts from this section. Make a toy importer report malformed rows without hiding failures. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain raising exceptions using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Explain validating input using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Explain tracebacks using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Explain defensive boundaries using a visual and one worked real-world example. Context: Make a toy importer report malformed rows without hiding failures. End with a prediction or check-for-understanding.
Make a toy importer report malformed rows without hiding failures. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Exceptions, try and except, Specific exception types and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Plan an offline report tool using standard-library building blocks.
Explain pathlib using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain datetime using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain collections.counter using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain collections.defaultdict using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain itertools using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Use the first concepts from this section. Plan an offline report tool using standard-library building blocks. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain functools using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain decimal using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain random and reproducible seeds using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain argparse using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Explain logging using a visual and one worked real-world example. Context: Plan an offline report tool using standard-library building blocks. End with a prediction or check-for-understanding.
Plan an offline report tool using standard-library building blocks. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering pathlib, datetime, collections.Counter and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Plan an offline report tool using standard-library building blocks. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Files, Errors and Standard Library, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Coding, trace tables, tests and original portfolio projects. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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