DSA · Theory

Efficiently compute sums of diagonals of a matrix

Theory

743/810

Efficiently compute sums of diagonals of a matrix

If you can teach Efficiently compute sums of diagonals of a matrix using Efficiently compute sums of diagonals of a matrix on Asha's board, you know it. If you only know the heading, you don’t.

Keep Efficiently compute sums of diagonals of a matrix small. Asha should finish Efficiently compute sums of diagonals of a matrix on Asha's board in a few lines, not a 40-line dump.

Skip Efficiently compute sums of diagonals of a matrix and skipping the failure case for Efficiently compute sums of diagonals of a matrix shows up in a first job task.

Asha ships Efficiently compute sums of diagonals of a matrix in a first job task. That is the use case worth saying.

Efficiently compute sums of diagonals of a matrix trap: skipping the failure case for Efficiently compute sums of diagonals of a matrix. Asha loses marks for that every viva.

After Efficiently compute sums of diagonals of a matrix, Asha should still remember skipping the failure case for Efficiently compute sums of diagonals of a matrix.

One breath for Efficiently compute sums of diagonals of a matrix, then Efficiently compute sums of diagonals of a matrix on Asha's board, then skipping the failure case for Efficiently compute sums of diagonals of a matrix. Sit down.

Exam tip

For Efficiently compute sums of diagonals of a matrix: definition + a first job task + one failure.

Example

arr = [10, 20, 30, 40]
print(arr[2], arr[-1])
matrix = [[1, 2], [3, 4]]
print(matrix[1][0])  # 3

Efficiently compute sums of diagonals of a matrix — arrays give O(1) index access; matrices are arrays of arrays.

Short notes

DefEfficiently compute sums of diagonals of a matrix — Asha uses it for Efficiently compute sums of diagonals of a matrix on Asha's board in a first job task.
RuleEfficiently compute sums of diagonals of a matrix → one Efficiently compute sums of diagonals of a matrix step Asha can write from memory.
RememberEfficiently compute sums of diagonals of a matrix + time vs memory (a first job task).
UseEfficiently compute sums of diagonals of a matrix in a first job task (Efficiently compute sums of diagonals of a matrix on Asha's board).
TrapEfficiently compute sums of diagonals of a matrix — skipping the failure case for Efficiently compute sums of diagonals of a matrix.
ExEfficiently compute sums of diagonals of a matrix → Efficiently compute sums of diagonals of a matrix on Asha's board.

DSA · Theory

Efficiently compute sums of diagonals of a matrix

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Theory

743/810

Efficiently compute sums of diagonals of a matrix

If you can teach Efficiently compute sums of diagonals of a matrix using Efficiently compute sums of diagonals of a matrix on Asha's board, you know it. If you only know the heading, you don’t.

Keep Efficiently compute sums of diagonals of a matrix small. Asha should finish Efficiently compute sums of diagonals of a matrix on Asha's board in a few lines, not a 40-line dump.

Skip Efficiently compute sums of diagonals of a matrix and skipping the failure case for Efficiently compute sums of diagonals of a matrix shows up in a first job task.

Asha ships Efficiently compute sums of diagonals of a matrix in a first job task. That is the use case worth saying.

Efficiently compute sums of diagonals of a matrix trap: skipping the failure case for Efficiently compute sums of diagonals of a matrix. Asha loses marks for that every viva.

After Efficiently compute sums of diagonals of a matrix, Asha should still remember skipping the failure case for Efficiently compute sums of diagonals of a matrix.

Exam tip

For Efficiently compute sums of diagonals of a matrix: definition + a first job task + one failure.

Example

arr = [10, 20, 30, 40]
print(arr[2], arr[-1])
matrix = [[1, 2], [3, 4]]
print(matrix[1][0])  # 3

Efficiently compute sums of diagonals of a matrix — arrays give O(1) index access; matrices are arrays of arrays.

Short notes

DefEfficiently compute sums of diagonals of a matrix — Asha uses it for Efficiently compute sums of diagonals of a matrix on Asha's board in a first job task.
RuleEfficiently compute sums of diagonals of a matrix → one Efficiently compute sums of diagonals of a matrix step Asha can write from memory.
RememberEfficiently compute sums of diagonals of a matrix + time vs memory (a first job task).
UseEfficiently compute sums of diagonals of a matrix in a first job task (Efficiently compute sums of diagonals of a matrix on Asha's board).
TrapEfficiently compute sums of diagonals of a matrix — skipping the failure case for Efficiently compute sums of diagonals of a matrix.
ExEfficiently compute sums of diagonals of a matrix → Efficiently compute sums of diagonals of a matrix on Asha's board.

Efficiently compute sums of diagonals of a matrix

Example

Short notes

Questions

Efficiently compute sums of diagonals of a matrix

Example

Short notes

Questions