1.1 Python Software Craft¶

Role at Stage 1: Foundations¶

Write Python that can grow from notebooks into maintainable AI project code. This part is one capability inside the stage. It should leave behind an artifact, measurements, and a short explanation of failure modes.

Explanation¶

This part has 5 sub-parts because the topic needs that many learning units to feel natural. Some stages have more parts and some have fewer; the structure follows the topic, not a fixed template.

Part Diagram¶

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flowchart LR
  P["<b>1.1</b><br/>Python Software Craft"]
  P --> S1["<b>1.1.1</b><br/>Python Project<br/>Structure"]
  P --> S2["<b>1.1.2</b><br/>Functions Classes and<br/>Modules"]
  P --> S3["<b>1.1.3</b><br/>Testing with Pytest"]
  P --> S4["<b>1.1.4</b><br/>Logging and Error<br/>Handling"]
  P --> S5["<b>1.1.5</b><br/>Configuration and<br/>Reproducibility"]
  P --> E["<b>Exam</b><br/>Part practice"]

Sub-Parts¶

Sub-part folder	What it explains
1.1.1 Python Project Structure	Python Project Structure is the working skill inside Python Software Craft that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result.
1.1.2 Functions Classes and Modules	Functions Classes and Modules is the working skill inside Python Software Craft that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result.
1.1.3 Testing with Pytest	Testing with Pytest is the working skill inside Python Software Craft that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result.
1.1.4 Logging and Error Handling	Logging and Error Handling is the working skill inside Python Software Craft that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result.
1.1.5 Configuration and Reproducibility	Configuration and Reproducibility is the working skill inside Python Software Craft that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result.

What a Person Who Masters This Part Can Do¶

Explain how Python Software Craft supports a tested python data application with a cli or api, setup notes, and a short data report..
Build and inspect this artifact: Refactor a notebook-style script into a small package with tests and a CLI.
Measure progress with: Track test count, runtime, config options, and reproducibility.
Debug at least one failure mode before moving to the next part.

Build and Measure¶

Build: Refactor a notebook-style script into a small package with tests and a CLI.

Measure: Track test count, runtime, config options, and reproducibility.

Tests¶

Take one 30-question exam after studying this part. It opens in a new browser tab so the study page stays available.

Open Part Exam

Back to Stage¶

Return to Stage 1: Foundations.