DSA · Theory

Sorting Algorithms

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Theory

47/810

Sorting Algorithms

If you can teach Sorting Algorithms using names A→Z, you know it. If you only know the heading, you don’t.

Sorting Algorithms order — meaning → n log n vs n² → one limit. Dumping ten features helps nobody.

Skip Sorting Algorithms and unstable sort when equal keys matter shows up in the roll list.

Amit ships Sorting Algorithms in the roll list. That is the use case worth saying.

Don’t do this with Sorting Algorithms — unstable sort when equal keys matter. Interviewers spot it in ten seconds.

Sorting Algorithms is not a lonely heading. Amit ties it to names A→Z.

Close Sorting Algorithms with — “If I skip it, names A→Z goes wrong like this: unstable sort when equal keys matter.”

Exam tip

For Sorting Algorithms: definition + the roll list + one failure.

Example

# Sorting Algorithms
data = [4, 1, 3]
print("start", data)
if data[0] > data[1]:
    data[0], data[1] = data[1], data[0]
print("after one step", data)

Sorting Algorithms: dry-run [4, 1, 3]. Say the list after one step.

Short notes

DefSorting Algorithms — Amit uses it for names A→Z in the roll list.
RuleSorting Algorithms → n log n vs n².
RememberSorting Algorithms + Big-O (the roll list).
UseSorting Algorithms in the roll list (names A→Z).
TrapSorting Algorithms — unstable sort when equal keys matter.
ExSorting Algorithms → names A→Z.

DSA · Theory

Sorting Algorithms

← All stacks

Theory

47/810

Sorting Algorithms

If you can teach Sorting Algorithms using names A→Z, you know it. If you only know the heading, you don’t.

Sorting Algorithms order — meaning → n log n vs n² → one limit. Dumping ten features helps nobody.

Skip Sorting Algorithms and unstable sort when equal keys matter shows up in the roll list.

Amit ships Sorting Algorithms in the roll list. That is the use case worth saying.

Don’t do this with Sorting Algorithms — unstable sort when equal keys matter. Interviewers spot it in ten seconds.

Sorting Algorithms is not a lonely heading. Amit ties it to names A→Z.

Close Sorting Algorithms with — “If I skip it, names A→Z goes wrong like this: unstable sort when equal keys matter.”

Exam tip

For Sorting Algorithms: definition + the roll list + one failure.

Example

# Sorting Algorithms
data = [4, 1, 3]
print("start", data)
if data[0] > data[1]:
    data[0], data[1] = data[1], data[0]
print("after one step", data)

Sorting Algorithms: dry-run [4, 1, 3]. Say the list after one step.

Short notes

DefSorting Algorithms — Amit uses it for names A→Z in the roll list.
RuleSorting Algorithms → n log n vs n².
RememberSorting Algorithms + Big-O (the roll list).
UseSorting Algorithms in the roll list (names A→Z).
TrapSorting Algorithms — unstable sort when equal keys matter.
ExSorting Algorithms → names A→Z.

Sorting Algorithms

Example

Short notes

Questions

Sorting Algorithms

Example

Short notes

Questions