Coding Grandmaster ยท project 2 of 46 ยท premium, free for now
Searching one by one
Write find(items, target) that returns a pair (index, comparisons). If the target is missing, the index is -1 and the comparisons equal the length of the list.
Learn
Linear search looks at each item in turn until it finds the target. It always works, but a big list can mean many looks. To measure it, return both where the item was found (or -1 if it is missing) and how many comparisons it took.
Your task
Write find(items, target) that returns a pair (index, comparisons). If the target is missing, the index is -1 and the comparisons equal the length of the list.
Stretch challenge
On average, how many comparisons does a successful search take for a list of 1,000 items?
Press Run to see what your program prints.
More in this module
Keep going in Coding Grandmaster
How fast is it? Counting steps
Write pair_checks(n): two nested loops that count every pair (i, j) with i smaller than j among n items, and return the count. The program prints pair_checks(10).
Start โ3Halving the search
Write binary_search(items, target) for a sorted list. Return (index, steps) where steps counts how many middle items you looked at, or (-1, steps) if it is missing.
Start โ4Two ways to sort
Write bubble_sort(items) and selection_sort(items). Each returns (sorted_list, swaps) and must not change the list it was given. The program prints both results for the list.
Start โ5The growth race
For each size in the list print one line like n=10 linear=10 nlogn=33 quadratic=100, where nlogn is int(n * math.log2(n)).
Start โ6Remembering answers
Write fib_naive(n) returning (value, calls) and fib_memo(n, memo) returning the value while counting calls in memo["calls"]. Print the results for 20.
Start โPractise the idea
๐ Play Data Detective
Use mean, median and mode to describe a set of data and compare what each tells you.
FAQ
Searching one by one: common questions
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