1. Honeymoon stage
2. Distress and anxiety
3. Adjustment
4. Adaption
5. Re-entry shock
Answer:
import numpy as np#importing numpy module with an alias np.
def c(bitstring_array):# defining function c.
num_integer=bitstring_array.dot(2**np.arange(bitstring_array.size)[::-1])#bitstring conversion.
return num_integer#returning integer array.
print("Enter bits")
Bit_l=input().split(" ")#enter space separated bitstring.
for i in range(len(Bit_l)):#iterating over the bitstring.
Bit_l[i]=int(Bit_l[i])
bitstring_array=np.array(Bit_l)
print(c(bitstring_array))#function call.
Output:
Enter bits
1 1 1 0 0 1
57
Answer:
speed = float(input("Enter the speed: "))
hours = int(input("Enter the hours: "))
distance = 0
for i in range(hours):
distance += speed * 1
print("The distance after " + str(i+1) + ". hour(s): " + str(distance))
Explanation:
*The code is in Python.
Ask the user to enter the speed and the hours
Initialize the distance as 0
Create a for loop that iterates hours times. Inside the loop, calculate the cumulative distance traveled at the end of each hour and print it (Note that the distance = speed x hour)
Answer:
c. are based on statistical data, measurement and metrics
Explanation:
Data driven process are process that are not based on intuition but rather are based on data. This data serves as evidence to back a decision that is to be taken. It therefore means that, whatever decision that will be taken, such a decision will be based on the data presented.
Answer: oh hello human :) also PLEASE DONT KILL ME I’m answering this because the question was already answered already on another post
