🐍 Python Programming

Writing, reading, testing and reasoning about Python well enough to be handed a problem and produce a solution someone else can trust.

Outcomes

13

Status

draft · v0.1.0

License

CC BY-SA 4.0

Python is the third seed domain, and the first about making something rather than interpreting it. It exists because the thing most people need from programming is not a degree’s worth of computer science but a working command of one language: enough to be given a problem, choose a sensible structure, write it, test it, and say out loud why it works.

The chain runs from running a program and reading its errors, through the built-in data structures, functions and iteration, to handling failure, testing, and solving a problem under the conditions a real coding assessment sets. Outcomes here are stated in Python, not in general computer science: what a learner can do in this language, with its standard library, and with the costs its data structures actually have.

Coherence map

Outcomes in this domain, layered by prerequisite. Begin with the first row.

Start here

Run a Python program and read its errorsfoundation

After: Choose the right built-in data structure, Write functions with clear signatures

Step 2

Choose the right built-in data structurefoundation

Before: Run a Python program and read its errors

After: Analyse what Python code costs, Iterate and transform data in Python, Model data with classes and dataclasses

Write functions with clear signaturesfoundation

Before: Run a Python program and read its errors

After: Annotate and check Python types, Handle errors deliberately, Iterate and transform data in Python, Model data with classes and dataclasses, Test Python code with pytest

Step 3

Annotate and check Python typesintermediate

Before: Write functions with clear signatures

Handle errors deliberatelyintermediate

Before: Write functions with clear signatures

After: Read and write files and structured data, Test Python code with pytest

Iterate and transform data in Pythonfoundation

Before: Choose the right built-in data structure, Write functions with clear signatures

After: Analyse what Python code costs, Reach for the standard library first, Read and write files and structured data

Model data with classes and dataclassesintermediate

Before: Write functions with clear signatures, Choose the right built-in data structure

Step 4

Analyse what Python code costsadvanced

Before: Choose the right built-in data structure, Iterate and transform data in Python

After: Solve a coding problem under assessment conditions

Reach for the standard library firstintermediate

Before: Iterate and transform data in Python

Read and write files and structured dataintermediate

Before: Iterate and transform data in Python, Handle errors deliberately

After: Ship a small Python project

Test Python code with pytestintermediate

Before: Write functions with clear signatures, Handle errors deliberately

After: Ship a small Python project, Solve a coding problem under assessment conditions

Step 5

Ship a small Python projectadvanced

Before: Test Python code with pytest, Read and write files and structured data

Solve a coding problem under assessment conditionsadvanced

Before: Analyse what Python code costs, Test Python code with pytest

Courses

draft

Python for a Coding Assessment

A refresher path through the Python graph for someone who has written Python before and has an assessment coming: run and read, rebuild the core, then work the way an assessment expects.

• 13 outcomes
• ~30 hours

Credentials

draft

Python Problem Solving

The holder can take an unfamiliar problem, write a tested Python solution someone else can run, and explain what it costs.

• 9 outcomes