Matrix Multiplication & Universal Functions

What is Matrix Multiplication?

• Matrix multiplication is an operation used to multiply two compatible arrays or matrices.

NumPy provides two common ways:

a @ b

and

np.matmul(a, b)

Step 1:

Output:

Universal Functions

• Cumulative Sum – cumsum()

What is cumsum()?

• cumsum() calculates the running total of the elements.

Step 1:

Output:

• Cumulative Product – cumprod()

What is cumprod()?

• cumprod() calculates the running multiplication of the elements.

Step 1:

Output:

Minimum and Maximum

• NumPy provides functions to find the smallest and largest values.

min() & argmin()

• min() returns the smallest value.
• argmin() returns the index of the minimum value.

Step 1:

Output:

max() & argmax()

• max() returns the largest value.
• argmax() returns the index of the maximum value.

Step 1:

Output: