I\'ve read that one of the key beliefs of Python is that flat > nested. However, if I have several variables counting up, what is the alternative to multiple for loops? My c
from itertools import product
def horizontal():
for x, y in product(range(20), range(17)):
print 1 + sum(int(n) for n in grid[x][y: y + 4])
You should be using the sum
function. Of course you can't if you shadow it with a variable, so I changed it to my_sum
grid = [range(20) for i in range(20)]
sum(sum( 1 + sum(grid[x][y: y + 4]) for y in range(17)) for x in range(20))
The above outputs 13260, for the particular grid created in the first line of code. It uses sum()
three times. The innermost sum adds up the numbers in grid[x][y: y + 4]
, plus the slightly strange initial value sum = 1
shown in the code in the question. The middle sum adds up those values for the 17 possible y values. The outer sum adds up the middle values over possible x values.
If elements of grid are strings instead of numbers, replace
sum(grid[x][y: y + 4])
with
sum(int(n) for n in grid[x][y: y + 4]
You can use a dictionary to optimize performance significantly
This is another example:
locations = {}
for i in range(len(airports)):
locations[airports["abb"][i][1:-1]] = (airports["height"][i], airports["width"][i])
for i in range(len(uniqueData)):
h, w = locations[uniqueData["dept_apt"][i]]
uniqueData["dept_apt_height"][i] = h
uniqueData["dept_apt_width"][i] = w