What you will learn
- Combine functions and data structures.
- Use nested data without losing track of shape.
- Understand basic comprehensions.
- Use a repeatable debugging and testing process.
The code from this chapter
Type these programs yourself. The predictions below are the exercises; the explanations are in the book.
12.1 Separate Jobs into Functions
Type this into a file, predict the output, then run it.
def average(numbers):
return sum(numbers) / len(numbers)
def show_summary(numbers):
print("Count:", len(numbers))
print("Average:", average(numbers))
print("Minimum:", min(numbers))
print("Maximum:", max(numbers))
scores = [70, 85, 92, 60, 78]
show_summary(scores)12.2 Nested Data
TPRM Lab 12.2: A List of Dictionaries
Type this into a file, predict the output, then run it.
students = [
{"name": "Ava", "scores": [80, 90]},
{"name": "Noah", "scores": [72, 88]}
]
for student in students:
avg = sum(student["scores"]) / len(student["scores"])
print(student["name"], avg)12.3 Comprehensions: Useful, but Not a Contest
Type this into a file, predict the output, then run it.
numbers = [1, 2, 3, 4, 5]
squares = [n * n for n in numbers]
evens = [n for n in numbers if n % 2 == 0]
print(squares)
print(evens)