23 37 56 74 80 90 112 114 123 129 208 249 266 270 271 Suppose you use binary search to search for the value 129 in the array above. Fill in the values for each iteration of the search. The first one is filled in as an example. Remember high and low store the indices that track which part of the array is being considered. Iteration 1: high: 14 low: 0 mid: 7 Iteration 2: high: low: mid: Iteration 3: high: low: mid:

Note:  Set a random seed of 100 for this assignment.  All arrays should contain random numbers between 0 and 1 (zero is inclusive).     Create a one-dimensional array of twenty float random numbers.   Assign the sum of these values to Q1.    Assign the max of these values to Q2.   Create a four by five array of random numbers.   Take the minimum values in each array and create an array of those values.  Assign it to Q3.   Assign the mean of all the array values to Q4.   Create an array with the following values: 2, 3, np.nan (this should represent a missing value), and 5.  Use a numpy function to find the sum of the values in this array.  Assign the sum to Q5 (you should expect a numerical value here).   Create two separate arrays each containing four random numbers.  Concatenate the two arrays and assign it to Q6.   Create a four by four array of random numbers and call it q7.  Concatenate this array with itself and assign it to Q7.   Create a two by four array of…

If an array variable is declared as score[7] then the valid range of array indexes for score is 0...7 Select one: True False