DSA · Theory

Hashing using the Polynomial Rolling Hash()

Theory

670/810

Hashing using the Polynomial Rolling Hash()

Amit only reaches for Hashing using the Polynomial Rolling Hash() (string function) when name → phone has to stay correct in a diary.

Hashing using the Polynomial Rolling Hash() (string function) order: meaning → key % size + collision plan → one limit. Dumping ten features helps nobody.

Without Hashing using the Polynomial Rolling Hash() (string function), a diary gets messy and name → phone is hard to trust.

Hashing using the Polynomial Rolling Hash() (string function) shows up in a diary. Name name → phone, not “a real-world scenario”.

If name → phone breaks under Hashing using the Polynomial Rolling Hash() (string function), check bad hash → pile-up first.

Place Hashing using the Polynomial Rolling Hash() (string function) next to nearby DSA work — key % size + collision plan is the link.

Close Hashing using the Polynomial Rolling Hash() (string function) with: “If I skip it, name → phone goes wrong like this: bad hash → pile-up.”

Exam tip

For Hashing using the Polynomial Rolling Hash() (string function): definition + a diary + one failure.

Example

freq = {}
for ch in "banana":
    freq[ch] = freq.get(ch, 0) + 1
print(freq)
print(freq.get("a"), freq.get("z", 0))

Hashing using the Polynomial Rolling Hash() (string function) — hash maps give average O(1) insert/lookup — dict in Python.

Short notes

DefHashing using the Polynomial Rolling Hash() (string function) — Amit uses it for name → phone in a diary.
RuleHashing using the Polynomial Rolling Hash() (string function) → key % size + collision plan.
RememberHashing using the Polynomial Rolling Hash() (string function) + Big-O (a diary).
UseHashing using the Polynomial Rolling Hash() (string function) in a diary (name → phone).
TrapHashing using the Polynomial Rolling Hash() (string function) — bad hash → pile-up.
ExHashing using the Polynomial Rolling Hash() (string function) → name → phone.

DSA · Theory

Hashing using the Polynomial Rolling Hash()

← All stacks

Theory

670/810

Hashing using the Polynomial Rolling Hash()

Amit only reaches for Hashing using the Polynomial Rolling Hash() (string function) when name → phone has to stay correct in a diary.

Hashing using the Polynomial Rolling Hash() (string function) order: meaning → key % size + collision plan → one limit. Dumping ten features helps nobody.

Without Hashing using the Polynomial Rolling Hash() (string function), a diary gets messy and name → phone is hard to trust.

Hashing using the Polynomial Rolling Hash() (string function) shows up in a diary. Name name → phone, not “a real-world scenario”.

If name → phone breaks under Hashing using the Polynomial Rolling Hash() (string function), check bad hash → pile-up first.

Place Hashing using the Polynomial Rolling Hash() (string function) next to nearby DSA work — key % size + collision plan is the link.

Close Hashing using the Polynomial Rolling Hash() (string function) with: “If I skip it, name → phone goes wrong like this: bad hash → pile-up.”

Exam tip

For Hashing using the Polynomial Rolling Hash() (string function): definition + a diary + one failure.

Example

freq = {}
for ch in "banana":
    freq[ch] = freq.get(ch, 0) + 1
print(freq)
print(freq.get("a"), freq.get("z", 0))

Hashing using the Polynomial Rolling Hash() (string function) — hash maps give average O(1) insert/lookup — dict in Python.

Short notes

DefHashing using the Polynomial Rolling Hash() (string function) — Amit uses it for name → phone in a diary.
RuleHashing using the Polynomial Rolling Hash() (string function) → key % size + collision plan.
RememberHashing using the Polynomial Rolling Hash() (string function) + Big-O (a diary).
UseHashing using the Polynomial Rolling Hash() (string function) in a diary (name → phone).
TrapHashing using the Polynomial Rolling Hash() (string function) — bad hash → pile-up.
ExHashing using the Polynomial Rolling Hash() (string function) → name → phone.

Hashing using the Polynomial Rolling Hash()

Example

Short notes

Questions

Hashing using the Polynomial Rolling Hash()

Example

Short notes

Questions