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import docx2txt | |
input_loc = input("Your docx location: ") | |
output_loc = input("Output location: ") | |
text = docx2txt.process(input_loc.split('"')[1], output_loc.split('"')[1]) |
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import pandas as pd | |
def country_info(country): | |
df_country = pd.read_html("https://tradingeconomics.com/matrix")[0] | |
info = df_country.loc[df_country["Country"] == country] | |
country_check = (df_country[df_country["Country"] == country]).all(1).any() | |
## Use for creating country.txt (List for all available country) | |
# with open("country.txt", "w") as f: |
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name = input("Filename: ") | |
n = int(input("How many data: ")) | |
print("\a") | |
for i in range(n): | |
print("Data Number-" + str(i+1)) | |
first = str(input("First name: ")) | |
last = str(input("Last name: ")) | |
print("\a") | |
with open(f"{name}", "a") as f: |
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from youtube_comment_scraper_python import * | |
import pandas as pd | |
link = input("Youtube links: ") | |
saved = input("Output name: ") | |
youtube.open(link) | |
response = youtube.video_comments() | |
data = response['body'] |
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################################################# | |
################### MODULE ###################### | |
################################################# | |
from email.mime.multipart import MIMEMultipart | |
from email.mime.text import MIMEText | |
import smtplib | |
################################################# | |
#################################### | |
########## INFORMATION ############# |
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LANGUAGES = { | |
'af': 'afrikaans', | |
'sq': 'albanian', | |
'am': 'amharic', | |
'ar': 'arabic', | |
'hy': 'armenian', | |
'az': 'azerbaijani', | |
'eu': 'basque', | |
'be': 'belarusian', | |
'bn': 'bengali', |
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// handhikayp | |
/*<!--*/ | |
(function () { | |
var qss = '&cb=' + Math.floor(99999999999 * Math.random()); | |
try { | |
qss += '&ref=' + encodeURIComponent(document.referrer); | |
} catch (e) {} | |
try { | |
qss += '&sc_r=' + encodeURIComponent(screen.width + 'x' + screen.height); |
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// handhikayp | |
/*<!--*/ | |
(function () { | |
var qss = '&cb=' + Math.floor(99999999999 * Math.random()); | |
try { | |
qss += '&ref=' + encodeURIComponent(document.referrer); | |
} catch (e) {} | |
try { | |
qss += '&sc_r=' + encodeURIComponent(screen.width + 'x' + screen.height); |
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def flip(text, arr): | |
return sorted(arr) if text == 'R' else sorted(arr, reverse=True) |
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const fetch = require("node-fetch"); | |
fetch("https://type.fit/api/quotes") | |
.then((response) => response.json()) | |
.then((data) => console.log(data[Math.floor(Math.random() * 1000)])); |
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