ultrakain

import sys
import requests
from bs4 import BeautifulSoup


def search_daum_dic(query_keyword):
    dic_url = """http://dic.daum.net/search.do?q={0}"""
    r = requests.get(dic_url.format(query_keyword))
    soup = BeautifulSoup(r.text, "html.parser")
    result_means = soup.find_all(attrs={'class':'list_search'})

ultrakain

import sys
import requests
from bs4 import BeautifulSoup


def search_naver_dic(query_keyword):
    dic_url = """http://endic.naver.com/search.nhn?sLn=kr&dicQuery={0}&x=12&y=12&query={0}&target=endic&ie=utf8&query_utf=&isOnlyViewEE=N
Method=GET"""
    r = requests.get(dic_url.format(query_keyword))
    soup = BeautifulSoup(r.text, "html.parser")

ultrakain

score = input('Input score : ')
score_num = int(score)

if score_num >= 90:
	print('A')
elif score_num >= 80 and score_num < 90:
	print('B')
elif score_num >= 70 and score_num < 80:
	print('C')
elif score_num >= 60 and score_num < 70:

ultrakain

ultrakain

from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill

wb = Workbook()

dest_filename = 'empty_book.xlsx'

ws1 = wb.active
ws1.title = u"샘플"
ws1['A1'] = '과일종류'

ultrakain

fish = "<(((====<<<"
print(fish[0:4])
print(fish[4:8])
print(fish[8:])

ultrakain

# string
x = "Beautiful is better than ugly"
for c in x:
	print(c)

# list
l = [1, 2, 3, 4, 5, 6, 7]
for item in l:
	print(item)

ultrakain

x_range = range(2, 10)
y_range = range(1, 10)

for x in x_range:
	for y in y_range:
		print('%d X %d = %d' % (x, y, x * y))
	print('*' * 20)

ultrakain

{
  "cmd": ["/usr/local/bin/python3", "$file"],
  "selector": "source.python",
  "file_regex": "file \"(...*?)\", line ([0-9]+)",
  "env":{"LANG": "en_US.UTF-8"}
}

ultrakain

# -*- coding:utf8 -*-
import csv

# read
with open('eggs.csv', 'rb') as csvfile:
    spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')
    for row in spamreader:
        print ', '.join(row)

# append