Given the array 'zeta' below, write the code to sum across the rows - take the resulting array and return the max (print the max please). zeta = np.array([[-9, 0, 1], [100, 23, 46]])

Given the following array, what is the content of the array after Three passes of Insertion Sort? array: 44   12   50   3   40     23   Question 5 options:   3  12  44  50  40  23   12  44  50  3  40  23   12  3  23  40  44  50   12  3  44  50  40  23

Define the array printed below using the np.array() function, and assign it to the variable 'my_array' (only one line of code needed).   [[0, 2, 4],[9, -6, 5],[0, 0, -10]]

write only the code required to multiply the number 8 to each array value in the array and print the results on the console Int[][] myArray = {{23, 54, -21}, {11, 35, 42}, {7, 18}}; //write your code here

Code to how do you total all of the matching integer elements in an array?.  ASAP.

We have an array variable ‘var’ int var[4] = {25,20,30,40}; Find the memory address of the first element of in the array: var[0]

In [ ]: We obtained an array with N = 10 values, scattered about mean of 25 (mm). Let's calculate the mean, standard deviation, standard deviation of the mean and 20-uncertainty SL of these numbers. In the following code, do these steps: • In the first cell, add a brief comment that explains what each statement does. Start each comment with a # sign. • In the second cell, delete the raise Not ImplementedError() code line and print the standard deviation and 20-uncertainty on the screen (follow the example for mean_L) mean_L = np.mean (L) print("Mean length: ", mean_L) stddev_L = np. std (L, ddof=1) stddev_mean_L = stddev_L/np.sqrt(N) uncertainty_L = 2*stddev_mean_L In [ ] V #YOUR CODE HERE raise NotImplementedError() #calculates the mean of L In the above code, the green expressions on the right hand side, such as np.mean, np. std and np.sqrt are functions built into the numpy package of Python. The names on the left hand side are variable names invented by me.