Strings & I/O: Evidence and Measurement

≈ 25 min

Evidence and Measurement

Connect the claim to observable evidence and state what uncertainty or limitation remains.

This extension applies that lens specifically to Strings & I/O.

A string is text. You can join strings with + (concatenation) and measure them with len():

greeting = "Hello, " + name n = len("hello") # 5

Strings have handy methods: "cape town".upper() → "CAPE TOWN", " hi ".strip() → "hi".

print(...) sends text to the screen; input(...) reads a line the user types (returns a string).

Code practice

Python Foundations — Evidence and Measurement: Write a function greet(name) that returns the string "Hello, " followed by the name. For example greet("Zanele") returns "Hello, Zanele".

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Runs in your browser. Charts (matplotlib) are not supported — use print-based output.

Code practice

Python Foundations — Evidence and Measurement: Given s = "cape town", create a variable shout holding the uppercase version ("CAPE TOWN").

python

Runs in your browser. Charts (matplotlib) are not supported — use print-based output.

Python Foundations — Evidence and Measurement: What does len("Caelum") return?

Name the original topic being extended by this evidence and measurement lesson.

Which statement is the best evidence-led starting point for Strings & I/O: Evidence and Measurement?

A string is text. You can join strings with + (concatenation) and measure them with len(): greeting = "Hello, " + name n = len("hello") # 5 Strings have handy methods: "cape town".upper() → "CAPE TOWN", " hi ".strip() → "hi". print(...) sends text to the screen; input(...) reads a line the user types (returns a string). `"5" + "3"

Variables & Types

Conditionals

A conclusion needs no observations, calculations or stated assumptions.