Dcoder Panda's Average Solution

pandas_average.py

t = int(input())

for _ in range(t):
    n = int(input())
    arr = input().split()
    arr = [int(el) for el in arr]
    total = sum(arr)
    sums = [0]
    mindiff = float('inf')
    for el in arr:
        sums.append(sums[-1] + el)
    m = len(sums)
    for i in range(1, n):
        mindiff = min(mindiff, abs((sums[i] / i) - ((total - sums[i])/(n - i))))
    print("{:.2f}".format(mindiff))