Invite the forest for a dance, oh, most vile creature. Scorch the ground with your black acid, turn living into death. Inorganic, bitter soil lay in your wake, as you, unstoppable, are a moving helix, leaving no ground untouched, no body unseen and not predated. See all other as other, you, against the world, an innate opposition whose humor is to always mirror the inverse. The inverse, but always worse, no sliver of good or true, or neutral for the matter. Satiate that need, the tendency to torture.
Dance with this boulder - stoic and intentionless who is too, kin of insects and smaller pests, sear its skin, rake its mane, do as you please. Play your game, and the tolerance of matter, because you are weaker than the inevitable. The still that you stir up, it revolves and finds its place once again.
You are merely motion.
March 15, 2022 - 9:51pm — theano7203
In case you have csv files and due to events or just life need to organize or move things to the cloud
A regular csv file with Python can convert to Python language and you can manipulate data
CSV looks like this
Rank,Country,Gold,Silver,Bronze,Total
1,United States,39,41,33,113
2,China,38,32,18,88
3,Japan,27,14,17,58
4,Great Britain,22,21,22,65
5,ROC,20,28,23,71
6,Australia,17,7,22,46
7,Netherlands,10,12,14,36
8,France,10,12,11,33
9,Germany,10,11,16,37
10,Italy,10,10,20,40
With dictwriter command in Python
import csv
medals_table = [
{'country': 'United States', 'gold': 39, 'silver': 41, 'bronze': 33, 'rank': 1},
{'country': 'China', 'gold': 38, 'silver': 32, 'bronze': 18, 'rank': 2},
{'country': 'Japan', 'gold': 27, 'silver': 14, 'bronze': 17, 'rank': 3},
{'country': 'Great Britain', 'gold': 22, 'silver': 21, 'bronze': 22, 'rank': 4},
{'country': 'ROC', 'gold': 20, 'silver': 28, 'bronze': 23, 'rank': 5},
{'country': 'Australia', 'gold': 17, 'silver': 7, 'bronze': 22, 'rank': 6},
{'country': 'Netherlands', 'gold': 10, 'silver': 12, 'bronze': 14, 'rank': 7},
{'country': 'France', 'gold': 10, 'silver': 12, 'bronze': 11, 'rank': 8},
{'country': 'Germany', 'gold': 10, 'silver': 11, 'bronze': 16, 'rank': 9},
{'country': 'Italy', 'gold': 10, 'silver': 10, 'bronze': 20, 'rank': 10},
]
def sort_key(d: dict) -> str:
return d['country']
columns = ['country', 'gold', 'silver', 'bronze', 'rank']
filename = 'country_medals.csv'
with open(filename,'w', encoding='utf-8', newline='') as output_file:
writer = csv.DictWriter(output_file, fieldnames=columns, extrasaction= 'ignore')
writer.writeheader()
# for row in medals_table:
# writer.writerow(row)
writer.writerows(sorted(medals_table, key= sort_key))
Where the hash tags are you can take off the last line and it does it a different way on a separate file
you load a csv file and then create a Python file
