Path: blob/master/Data Science using Python/Numpy Lab Day 2.ipynb
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Create a NumPy array with elements ranging from 0 to 9. Then, reshape it into a 3x3 matrix.
Create a 2D array of Shape 2*4 with defined elements in row1 - M1
Create a 2D identify matrix of shape 3*3- M2
Create a 2D ones matrix with Shape 2*4-M3
Compute: 1. M1+M3 2. M3M1 3. 4M2
Given two NumPy arrays A and B, perform element-wise addition, subtraction, multiplication, and division.
Extract the middle row of a given 2D NumPy array. Then, extract the elements at odd indices from the last column.
Compute the mean, median, and standard deviation of a given NumPy array across rows and columns.
Concatenate two 1D NumPy arrays vertically and horizontally, respectively.
Given a 1D NumPy array of ages, find all ages greater than 30.
Given a 2D NumPy array representing student scores and a 1D array representing score weights, compute weighted averages for each student.
Generate a random 3x3 NumPy array of integers between 0 and 100.