In recent years data science has become less and less about the data itself, and more about the technology and tools used to interact with it. Advanced solutions like AI, machine learning and robust analytics tools make it possible not just to process and understand massive stores of information but at unprecedented speeds.
Answer: actually idk this is a hard question when i figure it out ill let you know
Explanation:
so basically he will include the purpose of his email
Answer:
Explanation:
This program is written in Python. It is a function that takes in two arrays. Then it loops through the first array twice, adding each element with the others and comparing the sum to the values in the second array. If a similar value is found in the second array, the program prints out the value and returns True to the user. Otherwise, it returns False. A test case has been created with two array variables that print out False, the output can be seen in the attached image below.
def sumArray(arr1, arr2):
for i in range(len(arr1)):
for x in range(len(arr1)):
sum = 0
if i != x:
sum = arr1[i] + arr1[x]
if sum in arr2:
print(str(sum) + "Found in Second Array")
return True
return False
arr1 = [1, 9, 10, 44]
arr2 = [2, 4, 8, 14]
print(sumArray(arr1, arr2))
<span>Consider
the cement used for the foundation; the bricks and timber used for the
walls; and the shingles used for the roof. All of these are __________
in making the house.
A. Elements</span>
Option B
Blog is the best way