## Import Numpy and check version

import numpy as np

print$($f$"$Numpy version is $\{$np$.\_\_$version$\_\_\}")$

Numpy version is $1\mathrm{.}18\mathrm{.}1$

Random numbers are frequently used in Data Science.

$$ Generating random numbers $($or rather pseudo$-$random numbers$)$ is an important function.

$$ Numpy provides a random number module called numpy.random.

Create a random number generator called my$\_$rng using the default$\_$rng$()$ method in np$.$random. Use the default seed.

$[]$:

# Write your code below.

Now use my$\_$rng to generate a $3$X$3$ numpy array of random values.

$$ Print out this array

$[]$:

# Write your code below.

$[]$:

Use the Numpy array created above to create a second Numpy array of random numbers that is between $-10\mathrm{.}0$ and $10\mathrm{.}0.$

$$ This question requires you to figure out the mapping that will convert a set of random numbers that are distributed as found in the previous question to have the range from $-10\mathrm{.}0$ to $10\mathrm{.}0.$

$$ The form of the distributon does not change.

$[3]$:

# Show your code below.

np$.$random can also generate random integers. Generate a $3$X$3$ array of random integers between $0$ and $10.$

$[]$:

# Your code here.

np$.$random can also generate various common distributions. Generate a $3$X$3$ array of numbers from a normal distribution with mean $10$ and standard deviation $2.$

$[]$:

# Your code here

Call the $3$X$3$ matrix of normal random variables generated in the last step gm$3.$

$$ Use Numpy methods to create two other numpy arrays, row$\_$sum and col$\_$sum:

$$ row$\_$sum should be the length $3$ array of the sum of the rows of gm$3.$

$$ col$\_$sum should be the length $3$ array of the sum of the columns of gm$3$