Load the Numpy library before you start:

$[]$:

# Load the library

Create Some Arrays

Create $($and show$)$ an array with elements from $5$ to $7($not included$)$ in steps of $0\mathrm{.}25$:

$[]$:

# $5$ to $($less than$)7$:

Create and show an array with $23$ evenly spaced values from $3$ to $4,$ inclusive:

$[]$:

# $23$ points from $3$ to $4$:

Make and show a $45$ two$-$dimensional array of zeros: $($Don$\text{'}$t do it by entering all values manually$)$

$[]$:

# $4$x$5$ zeros:

Indexing an Array

Run the cell below to define and display a matrix mat:

$[]$:

mat $=$ np$.$arange$(1,101).$reshape$(10,10)$

print$($mat$)$

Use matrix indexing to retrieve $($and show$)$ the entry in row index $3,$ column index $2$ from mat: $($Note that row index $3$ is the fourth row, of course! You should get back $33.)$

$[]$:

# Entry in $3,2$:

Use a slice to find the $34$ submatrix containing rows with index $2-4($inclusive$)$ and columns $4-7($inclusive$)$ from mat:

$[]$:

# rows $2-4$ and columns $4-7$:

Use a slice to get the last row of the matrix:

$[]$:

# last row:

Use a slice to get the first column of the matrix:

$[]$:

# first column:

Random Numbers

Create a random number generator and assign it to the variable rng like we did in the examples. Set the seed to be $4567.$

$[]$:

# Random number generator

Use rng to create and display $10$ random floating point numbers uniformly distributed between $5$ and $10$:

$[]$:

# $10$ numbers from $5$ to $10$:

Use rng to create and display $10$ normally distributed random numbers with mean $($location$)$ of $2$ and standard deviation $($scale$)$ of $3$:

$[]$: