In this lesson, I've compiled a collection of 25 Python programmes. I've included links to learn more about each script, such as packages installation
and how to execute script?
.
Follow me on twitter - @harendraverma2
- 1. Convert JSON to CSV
- 2. Password Generator
- 3. String search from multiple files
- 4. Fetch all links from a given webpage
- 5. Image Watermarking
- 6. Scrap and Download all images from the WEB Page
- 7. Low Battery Notification
- 8. Calculate Your Age
- 9. Organized download folder with different categories
- 10. Send Emails in Bulk From CSV File
- 11. Get the IP Address and Hostname of A Website
- 12. Terminal Progress Bar
- 13. Wifi Password Ejector
- 14. Snapshot of The Given Website
- 15. Split Files Into Chunks
- 16. Encrypt and Decrypt Texts
- 17. Capture Screenshots At Regular Intervals of Time
- 18. Decimal to Binary converter
- 19. CLI Todo App
- 20. Currency Converter
- 21. Create a simple stopwatch
- 22. Python script to compress folders and files
- 23. Find IMDB Ratings
- 24. Web Scrapping Youtube Comment
- 25. Text To Speech
1. Convert JSON to CSV
import json
if __name__ == '__main__':
try:
with open('input.json', 'r') as f:
data = json.loads(f.read())
output = ','.join([*data[0]])
for obj in data:
output += f'\n{obj["Name"]},{obj["age"]},{obj["birthyear"]}'
with open('output.csv', 'w') as f:
f.write(output)
except Exception as ex:
print(f'Error: {str(ex)}')
2. Password Generator
import random
import string
total = string.ascii_letters + string.digits + string.punctuation
length = 16
password = "".join(random.sample(total, length))
print(password)
3. String search from multiple files
import os
text = input("input text : ")
path = input("path : ")
# os.chdir(path)
def getfiles(path):
f = 0
os.chdir(path)
files = os.listdir()
# print(files)
for file_name in files:
abs_path = os.path.abspath(file_name)
if os.path.isdir(abs_path):
getfiles(abs_path)
if os.path.isfile(abs_path):
f = open(file_name, "r")
if text in f.read():
f = 1
print(text + " found in ")
final_path = os.path.abspath(file_name)
print(final_path)
return True
if f == 1:
print(text + " not found! ")
return False
getfiles(path)
4. Fetch all links from a given webpage
import requests as rq
from bs4 import BeautifulSoup
url = input("Enter Link: ")
if ("https" or "http") in url:
data = rq.get(url)
else:
data = rq.get("https://" + url)
soup = BeautifulSoup(data.text, "html.parser")
links = []
for link in soup.find_all("a"):
links.append(link.get("href"))
# Writing the output to a file (myLinks.txt) instead of to stdout
# You can change 'a' to 'w' to overwrite the file each time
with open("myLinks.txt", 'a') as saved:
print(links[:10], file=saved)
5. Image Watermarking
import os
from PIL import Image
def watermark_photo(input_image_path,watermark_image_path,output_image_path):
base_image = Image.open(input_image_path)
watermark = Image.open(watermark_image_path).convert("RGBA")
# add watermark to your image
position = base_image.size
newsize = (int(position[0]*8/100),int(position[0]*8/100))
# print(position)
watermark = watermark.resize(newsize)
# print(newsize)
# return watermark
new_position = position[0]-newsize[0]-20,position[1]-newsize[1]-20
# create a new transparent image
transparent = Image.new(mode='RGBA',size=position,color=(0,0,0,0))
# paste the original image
transparent.paste(base_image,(0,0))
# paste the watermark image
transparent.paste(watermark,new_position,watermark)
image_mode = base_image.mode
print(image_mode)
if image_mode == 'RGB':
transparent = transparent.convert(image_mode)
else:
transparent = transparent.convert('P')
transparent.save(output_image_path,optimize=True,quality=100)
print("Saving"+output_image_path+"...")
folder = input("Enter Folder Path:")
watermark = input("Enter Watermark Path:")
os.chdir(folder)
files = os.listdir(os.getcwd())
print(files)
if not os.path.isdir("output"):
os.mkdir("output")
c = 1
for f in files:
if os.path.isfile(os.path.abspath(f)):
if f.endswith(".png") or f.endswith(".jpg"):
watermark_photo(f,watermark,"output/"+f)
6. Scrap and Download all images from the WEB Page
from selenium import webdriver
import requests as rq
import os
from bs4 import BeautifulSoup
import time
# path= E:\web scraping\chromedriver_win32\chromedriver.exe
path = input("Enter Path : ")
url = input("Enter URL : ")
output = "output"
def get_url(path, url):
driver = webdriver.Chrome(executable_path=r"{}".format(path))
driver.get(url)
print("loading.....")
res = driver.execute_script("return document.documentElement.outerHTML")
return res
def get_img_links(res):
soup = BeautifulSoup(res, "lxml")
imglinks = soup.find_all("img", src=True)
return imglinks
def download_img(img_link, index):
try:
extensions = [".jpeg", ".jpg", ".png", ".gif"]
extension = ".jpg"
for exe in extensions:
if img_link.find(exe) > 0:
extension = exe
break
img_data = rq.get(img_link).content
with open(output + "\\" + str(index + 1) + extension, "wb+") as f:
f.write(img_data)
f.close()
except Exception:
pass
result = get_url(path, url)
time.sleep(60)
img_links = get_img_links(result)
if not os.path.isdir(output):
os.mkdir(output)
for index, img_link in enumerate(img_links):
img_link = img_link["src"]
print("Downloading...")
if img_link:
download_img(img_link, index)
print("Download Complete!!")
7. Low Battery Notification
# pip install psutil
import psutil
battery = psutil.sensors_battery()
plugged = battery.power_plugged
percent = battery.percent
if percent <= 30 and plugged!=True:
# pip install py-notifier
# pip install win10toast
from pynotifier import Notification
Notification(
title="Battery Low",
description=str(percent) + "% Battery remain!!",
duration=5, # Duration in seconds
).send()
8. Calculate Your Age
import time
from calendar import isleap
# judge the leap year
def judge_leap_year(year):
if isleap(year):
return True
else:
return False
# returns the number of days in each month
def month_days(month, leap_year):
if month in [1, 3, 5, 7, 8, 10, 12]:
return 31
elif month in [4, 6, 9, 11]:
return 30
elif month == 2 and leap_year:
return 29
elif month == 2 and (not leap_year):
return 28
name = input("input your name: ")
age = input("input your age: ")
localtime = time.localtime(time.time())
year = int(age)
month = year * 12 + localtime.tm_mon
day = 0
begin_year = int(localtime.tm_year) - year
end_year = begin_year + year
# calculate the days
for y in range(begin_year, end_year):
if (judge_leap_year(y)):
day = day + 366
else:
day = day + 365
leap_year = judge_leap_year(localtime.tm_year)
for m in range(1, localtime.tm_mon):
day = day + month_days(m, leap_year)
day = day + localtime.tm_mday
print("%s's age is %d years or " % (name, year), end="")
print("%d months or %d days" % (month, day))
9. Organized download folder with different categories
import os
import shutil
os.chdir("E:\downloads")
#print(os.getcwd())
#check number of files in directory
files = os.listdir()
#list of extension (You can add more if you want)
extentions = {
"images": [".jpg", ".png", ".jpeg", ".gif"],
"videos": [".mp4", ".mkv"],
"musics": [".mp3", ".wav"],
"zip": [".zip", ".tgz", ".rar", ".tar"],
"documents": [".pdf", ".docx", ".csv", ".xlsx", ".pptx", ".doc", ".ppt", ".xls"],
"setup": [".msi", ".exe"],
"programs": [".py", ".c", ".cpp", ".php", ".C", ".CPP"],
"design": [".xd", ".psd"]
}
#sort to specific folder depend on extenstions
def sorting(file):
keys = list(extentions.keys())
for key in keys:
for ext in extentions[key]:
# print(ext)
if file.endswith(ext):
return key
#iterat through each file
for file in files:
dist = sorting(file)
if dist:
try:
shutil.move(file, "../download-sorting/" + dist)
except:
print(file + " is already exist")
else:
try:
shutil.move(file, "../download-sorting/others")
except:
print(file + " is already exist")
10. Send Emails in Bulk From CSV File
import csv
from email.message import EmailMessage
import smtplib
def get_credentials(filepath):
with open("credentials.txt", "r") as f:
email_address = f.readline()
email_pass = f.readline()
return (email_address, email_pass)
def login(email_address, email_pass, s):
s.ehlo()
# start TLS for security
s.starttls()
s.ehlo()
# Authentication
s.login(email_address, email_pass)
print("login")
def send_mail():
s = smtplib.SMTP("smtp.gmail.com", 587)
email_address, email_pass = get_credentials("./credentials.txt")
login(email_address, email_pass, s)
# message to be sent
subject = "Welcome to Python"
body = """Python is an interpreted, high-level,
general-purpose programming language.\n
Created by Guido van Rossum and first released in 1991,
Python's design philosophy emphasizes code readability\n
with its notable use of significant whitespace"""
message = EmailMessage()
message.set_content(body)
message['Subject'] = subject
with open("emails.csv", newline="") as csvfile:
spamreader = csv.reader(csvfile, delimiter=" ", quotechar="|")
for email in spamreader:
s.send_message(email_address, email[0], message)
print("Send To " + email[0])
# terminating the session
s.quit()
print("sent")
if __name__ == "__main__":
send_mail()
11. Get the IP Address and Hostname of A Website
# Get Ipaddress and Hostname of Website
# importing socket library
import socket
def get_hostname_IP():
hostname = input("Please enter website address(URL):")
try:
print (f'Hostname: {hostname}')
print (f'IP: {socket.gethostbyname(hostname)}')
except socket.gaierror as error:
print (f'Invalid Hostname, error raised is {error}')
get_hostname_IP()
12. Terminal Progress Bar
from tqdm import tqdm
from PIL import Image
import os
from time import sleep
def Resize_image(size, image):
if os.path.isfile(image):
try:
im = Image.open(image)
im.thumbnail(size, Image.ANTIALIAS)
im.save("resize/" + str(image) + ".jpg")
except Exception as ex:
print(f"Error: {str(ex)} to {image}")
path = input("Enter Path to images : ")
size = input("Size Height , Width : ")
size = tuple(map(int, size.split(",")))
os.chdir(path)
list_images = os.listdir(path)
if "resize" not in list_images:
os.mkdir("resize")
for image in tqdm(list_images, desc="Resizing Images"):
Resize_image(size, image)
sleep(0.1)
print("Resizing Completed!")
13. Wifi Password Ejector
import subprocess
data = (
subprocess.check_output(["netsh", "wlan", "show", "profiles"])
.decode("utf-8")
.split("\n")
)
profiles = [i.split(":")[1][1:-1] for i in data if "All User Profile" in i]
for i in profiles:
results = (
subprocess
.check_output(["netsh", "wlan", "show", "profile", i, "key=clear"])
.decode("utf-8")
.split("\n")
)
results = [b.split(":")[1][1:-1] for b in results if "Key Content" in b]
try:
print("{:<30}| {:<}".format(i, results[0]))
except IndexError:
print("{:<30}| {:<}".format(i, ""))
14. Snapshot of The Given Website
import sys
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import chromedriver_binary
script_name = sys.argv[0]
options = Options()
options.add_argument('--headless')
driver = webdriver.Chrome(options=options)
try:
url = sys.argv[1]
driver.get(url)
page_width = driver.execute_script('return document.body.scrollWidth')
page_height = driver.execute_script('return document.body.scrollHeight')
driver.set_window_size(page_width, page_height)
driver.save_screenshot('screenshot.png')
driver.quit()
print("SUCCESS")
except IndexError:
print('Usage: %s URL' % script_name)
15. Split Files Into Chunks
import sys
import os
import shutil
import pandas as pd
class Split_Files:
'''
Class file for split file program
'''
def __init__(self, filename, split_number):
'''
Getting the file name and the split index
Initializing the output directory, if present then truncate it.
Getting the file extension
'''
self.file_name = filename
self.directory = "file_split"
self.split = int(split_number)
if os.path.exists(self.directory):
shutil.rmtree(self.directory)
os.mkdir(self.directory)
if self.file_name.endswith('.txt'):
self.file_extension = '.txt'
else:
self.file_extension = '.csv'
self.file_number = 1
def split_data(self):
'''
spliting the input csv/txt file according to the index provided
'''
data = pd.read_csv(self.file_name, header=None)
data.index += 1
split_frame = pd.DataFrame()
output_file = f"{self.directory}/split_file{self.file_number}{self.file_extension}"
for i in range(1, len(data)+1):
split_frame = split_frame.append(data.iloc[i-1])
if i % self.split == 0:
output_file = f"{self.directory}/split_file{self.file_number}{self.file_extension}"
if self.file_extension == '.txt':
split_frame.to_csv(output_file, header=False, index=False, sep=' ')
else:
split_frame.to_csv(output_file, header=False, index=False)
split_frame.drop(split_frame.index, inplace=True)
self.file_number += 1
if not split_frame.empty:
output_file = f"{self.directory}/split_file{self.file_number}{self.file_extension}"
split_frame.to_csv(output_file, header=False, index=False)
if __name__ == '__main__':
file, split_number = sys.argv[1], sys.argv[2]
sp = Split_Files(file, split_number)
sp.split_data()
16. Encrypt and Decrypt Texts
from Crypto.Cipher import AES
from Crypto import Random
from binascii import b2a_hex
import sys
# get the plaintext
plain_text = sys.argv[1]
# The key length must be 16 (AES-128), 24 (AES-192), or 32 (AES-256) Bytes.
key = b'this is a 16 key'
# Generate a non-repeatable key vector with a length
# equal to the size of the AES block
iv = Random.new().read(AES.block_size)
# Use key and iv to initialize AES object, use MODE_CFB mode
mycipher = AES.new(key, AES.MODE_CFB, iv)
# Add iv (key vector) to the beginning of the encrypted ciphertext
# and transmit it together
ciphertext = iv + mycipher.encrypt(plain_text.encode())
# To decrypt, use key and iv to generate a new AES object
mydecrypt = AES.new(key, AES.MODE_CFB, ciphertext[:16])
# Use the newly generated AES object to decrypt the encrypted ciphertext
decrypttext = mydecrypt.decrypt(ciphertext[16:])
# output
file_out = open("encrypted.bin", "wb")
file_out.write(ciphertext[16:])
file_out.close()
print("The key k is: ", key)
print("iv is: ", b2a_hex(ciphertext)[:16])
print("The encrypted data is: ", b2a_hex(ciphertext)[16:])
print("The decrypted data is: ", decrypttext.decode())
17. Capture Screenshots At Regular Intervals of Time
import os
import argparse
import pyautogui
import time
parser = argparse.ArgumentParser()
parser.add_argument("-p", "--path", help="absolute path to store screenshot.", default=r"./images")
parser.add_argument("-t", "--type", help="h (in hour) or m (in minutes) or s (in seconds)", default='h')
parser.add_argument("-f", "--frequency", help="frequency for taking screenshot per h/m/s.", default=1, type=int)
args = parser.parse_args()
sec = 0.
if args.type == 'h':
sec = 60 * 60 / args.frequency
elif args.type == 'm':
sec = 60 / args.frequency
if sec < 1.:
sec = 1.
if os.path.isdir(args.path) != True:
os.mkdir(args.path)
try:
while True:
t = time.localtime()
current_time = time.strftime("%H_%M_%S", t)
file = current_time + ".jpg"
image = pyautogui.screenshot(os.path.join(args.path,file))
print(f"{file} saved successfully.\n")
time.sleep(sec)
except KeyboardInterrupt:
print("End of script by user interrupt")
18. Decimal to Binary converter
try:
menu = int(input("Choose an option: \n 1. Decimal to binary \n 2. Binary to decimal\n Option: "))
if menu < 1 or menu > 2:
raise ValueError
if menu == 1:
dec = int(input("Input your decimal number:\nDecimal: "))
print("Binary: {}".format(bin(dec)[2:]))
elif menu == 2:
binary = input("Input your binary number:\n Binary: ")
print("Decimal: {}".format(int(binary, 2)))
except ValueError:
print ("please choose a valid option")
19. CLI Todo App
import click
@click.group()
@click.pass_context
def todo(ctx):
'''Simple CLI Todo App'''
ctx.ensure_object(dict)
#Open todo.txt – first line contains latest ID, rest contain tasks and IDs
with open('./todo.txt') as f:
content = f.readlines()
#Transfer data from todo.txt to the context
ctx.obj['LATEST'] = int(content[:1][0])
ctx.obj['TASKS'] = {en.split('```
')[0]:en.split('
```')[1][:-1] for en in content[1:]}
@todo.command()
@click.pass_context
def tasks(ctx):
'''Display tasks'''
if ctx.obj['TASKS']:
click.echo('YOUR TASKS\n**********')
#Iterate through all the tasks stored in the context
for i, task in ctx.obj['TASKS'].items():
click.echo('• ' + task + ' (ID: ' + i + ')')
click.echo('')
else:
click.echo('No tasks yet! Use ADD to add one.\n')
@todo.command()
@click.pass_context
@click.option('-add', '--add_task', prompt='Enter task to add')
def add(ctx, add_task):
'''Add a task'''
if add_task:
#Add task to list in context
ctx.obj['TASKS'][ctx.obj['LATEST']] = add_task
click.echo('Added task "' + add_task + '" with ID ' + str(ctx.obj['LATEST']))
#Open todo.txt and write current index and tasks with IDs (separated by " ```
{% endraw %}
")
curr_ind = [str(ctx.obj['LATEST'] + 1)]
tasks = [str(i) + '
{% raw %}
```' + t for (i, t) in ctx.obj['TASKS'].items()]
with open('./todo.txt', 'w') as f:
f.writelines(['%s\n' % en for en in curr_ind + tasks])
@todo.command()
@click.pass_context
@click.option('-fin', '--fin_taskid', prompt='Enter ID of task to finish', type=int)
def done(ctx, fin_taskid):
'''Delete a task by ID'''
#Find task with associated ID
if str(fin_taskid) in ctx.obj['TASKS'].keys():
task = ctx.obj['TASKS'][str(fin_taskid)]
#Delete task from task list in context
del ctx.obj['TASKS'][str(fin_taskid)]
click.echo('Finished and removed task "' + task + '" with id ' + str(fin_taskid))
#Open todo.txt and write current index and tasks with IDs (separated by " ```
{% endraw %}
")
if ctx.obj['TASKS']:
curr_ind = [str(ctx.obj['LATEST'] + 1)]
tasks = [str(i) + '
{% raw %}
```' + t for (i, t) in ctx.obj['TASKS'].items()]
with open('./todo.txt', 'w') as f:
f.writelines(['%s\n' % en for en in curr_ind + tasks])
else:
#Resets ID tracker to 0 if list is empty
with open('./todo.txt', 'w') as f:
f.writelines([str(0) + '\n'])
else:
click.echo('Error: no task with id ' + str(fin_taskid))
if __name__ == '__main__':
todo()
20. Currency Converter
import requests
import json
import sys
from pprint import pprint
# The below 4 lines bring out the value of currency from the api at fixer.io. I had to register there, the key is unique to me.
url = "http://data.fixer.io/api/latest?access_key=33ec7c73f8a4eb6b9b5b5f95118b2275"
data = requests.get(url).text
data2 = json.loads(data) #brings whether request was successful,timestamp etc
fx = data2["rates"]
currencies = [
"AED : Emirati Dirham,United Arab Emirates Dirham",
"AFN : Afghan Afghani,Afghanistan Afghani",
"ALL : Albanian Lek,Albania Lek",
"AMD : Armenian Dram,Armenia Dram",
"ANG : Dutch Guilder,Netherlands Antilles Guilder,Bonaire,Curaçao,Saba,Sint Eustatius,Sint Maarten",
"AOA : Angolan Kwanza,Angola Kwanza",
"ARS : Argentine Peso,Argentina Peso,Islas Malvinas",
"AUD : Australian Dollar,Australia Dollar,Christmas Island,Cocos (Keeling) Islands,Norfolk Island,Ashmore and Cartier Islands,Australian Antarctic Territory,Coral Sea Islands,Heard Island,McDonald Islands,Kiribati,Nauru",
"AWG : Aruban or Dutch Guilder,Aruba Guilder",
"AZN : Azerbaijan Manat,Azerbaijan Manat",
"BAM : Bosnian Convertible Mark,Bosnia and Herzegovina Convertible Mark",
"BBD : Barbadian or Bajan Dollar,Barbados Dollar",
"BDT : Bangladeshi Taka,Bangladesh Taka",
"BGN : Bulgarian Lev,Bulgaria Lev",
"BHD : Bahraini Dinar,Bahrain Dinar",
"BIF : Burundian Franc,Burundi Franc",
"BMD : Bermudian Dollar,Bermuda Dollar",
"BND : Bruneian Dollar,Brunei Darussalam Dollar",
"BOB : Bolivian Bolíviano,Bolivia Bolíviano",
"BRL : Brazilian Real,Brazil Real",
"BSD : Bahamian Dollar,Bahamas Dollar",
"BTC : Bitcoin,BTC, XBT",
"BTN : Bhutanese Ngultrum,Bhutan Ngultrum",
"BWP : Botswana Pula,Botswana Pula",
"BYN : Belarusian Ruble,Belarus Ruble",
"BYR : Belarusian Ruble,Belarus Ruble",
"BZD : Belizean Dollar,Belize Dollar",
"CAD : Canadian Dollar,Canada Dollar",
"CDF : Congolese Franc,Congo/Kinshasa Franc",
"CHF : Swiss Franc,Switzerland Franc,Liechtenstein,Campione d'Italia,Büsingen am Hochrhein",
"CLF : Chilean Unit of Account",
"CLP : Chilean Peso,Chile Peso",
"CNY : Chinese Yuan Renminbi,China Yuan Renminbi",
"COP : Colombian Peso,Colombia Peso",
"CRC : Costa Rican Colon,Costa Rica Colon",
"CUC : Cuban Convertible Peso,Cuba Convertible Peso",
"CUP : Cuban Peso,Cuba Peso",
"CVE : Cape Verdean Escudo,Cape Verde Escudo",
"CZK : Czech Koruna,Czech Republic Koruna",
"DJF : Djiboutian Franc,Djibouti Franc",
"DKK : Danish Krone,Denmark Krone,Faroe Islands,Greenland",
"DOP : Dominican Peso,Dominican Republic Peso",
"DZD : Algerian Dinar,Algeria Dinar",
"EGP : Egyptian Pound,Egypt Pound,Gaza Strip",
"ERN : Eritrean Nakfa,Eritrea Nakfa",
"ETB : Ethiopian Birr,Ethiopia Birr,Eritrea",
"EUR : Euro,Euro Member Countries,Andorra,Austria,Azores,Baleares (Balearic Islands),Belgium,Canary Islands,Cyprus,Finland,France,French Guiana,French Southern Territories,Germany,Greece,Guadeloupe,Holland (Netherlands),Holy See (Vatican City),Ireland (Eire),Italy,Luxembourg,Madeira Islands,Malta,Monaco,Montenegro,Netherlands",
"FJD : Fijian Dollar,Fiji Dollar",
"FKP : Falkland Island Pound,Falkland Islands (Malvinas) Pound",
"GBP : British Pound,United Kingdom Pound,United Kingdom (UK),England,Northern Ireland,Scotland,Wales,Falkland Islands,Gibraltar,Guernsey,Isle of Man,Jersey,Saint Helena and Ascension,South Georgia and the South Sandwich Islands,Tristan da Cunha",
"GEL : Georgian Lari,Georgia Lari",
"GGP : Guernsey Pound,Guernsey Pound",
"GHS : Ghanaian Cedi,Ghana Cedi",
"GIP : Gibraltar Pound,Gibraltar Pound",
"GMD : Gambian Dalasi,Gambia Dalasi",
"GNF : Guinean Franc,Guinea Franc",
"GTQ : Guatemalan Quetzal,Guatemala Quetzal",
"GYD : Guyanese Dollar,Guyana Dollar",
"HKD : Hong Kong Dollar,Hong Kong Dollar",
"HNL : Honduran Lempira,Honduras Lempira",
"HRK : Croatian Kuna,Croatia Kuna",
"HTG : Haitian Gourde,Haiti Gourde",
"HUF : Hungarian Forint,Hungary Forint",
"IDR : Indonesian Rupiah,Indonesia Rupiah,East Timor",
"ILS : Israeli Shekel,Israel Shekel,Palestinian Territories",
"IMP : Isle of Man Pound,Isle of Man Pound",
"INR : Indian Rupee,India Rupee,Bhutan,Nepal",
"IQD : Iraqi Dinar,Iraq Dinar",
"IRR : Iranian Rial,Iran Rial",
"ISK : Icelandic Krona,Iceland Krona",
"JEP : Jersey Pound,Jersey Pound",
"JMD : Jamaican Dollar,Jamaica Dollar",
"JOD : Jordanian Dinar,Jordan Dinar",
"JPY : Japanese Yen,Japan Yen",
"KES : Kenyan Shilling,Kenya Shilling",
"KGS : Kyrgyzstani Som,Kyrgyzstan Som",
"KHR : Cambodian Riel,Cambodia Riel",
"KMF : Comorian Franc,Comorian Franc",
"KPW : North Korean Won,Korea (North) Won",
"KRW : South Korean Won,Korea (South) Won",
"KWD : Kuwaiti Dinar,Kuwait Dinar",
"KYD : Caymanian Dollar,Cayman Islands Dollar",
"KZT : Kazakhstani Tenge,Kazakhstan Tenge",
"LAK : Lao Kip,Laos Kip",
"LBP : Lebanese Pound,Lebanon Pound",
"LKR : Sri Lankan Rupee,Sri Lanka Rupee",
"LRD : Liberian Dollar,Liberia Dollar",
"LSL : Basotho Loti,Lesotho Loti",
"LTL : Lithuanian litas",
"LVL : Latvia Lats",
"LYD : Libyan Dinar,Libya Dinar",
"MAD : Moroccan Dirham,Morocco Dirham,Western Sahara",
"MDL : Moldovan Leu,Moldova Leu",
"MGA : Malagasy Ariary,Madagascar Ariary",
"MKD : Macedonian Denar,Macedonia Denar",
"MMK : Burmese Kyat,Myanmar (Burma) Kyat",
"MNT : Mongolian Tughrik,Mongolia Tughrik",
"MOP : Macau Pataca,Macau Pataca",
"MRU : Mauritanian Ouguiya,Mauritania Ouguiya",
"MUR : Mauritian Rupee,Mauritius Rupee",
"MVR : Maldivian Rufiyaa,Maldives (Maldive Islands) Rufiyaa",
"MWK : Malawian Kwacha,Malawi Kwacha",
"MXN : Mexican Peso,Mexico Peso",
"MYR : Malaysian Ringgit,Malaysia Ringgit",
"MZN : Mozambican Metical,Mozambique Metical",
"NAD : Namibian Dollar,Namibia Dollar",
"NGN : Nigerian Naira,Nigeria Naira",
"NIO : Nicaraguan Cordoba,Nicaragua Cordoba",
"NOK : Norwegian Krone,Norway Krone,Bouvet Island,Svalbard,Jan Mayen,Queen Maud Land,Peter I Island",
"NPR : Nepalese Rupee,Nepal Rupee,India (unofficially near India-Nepal border)",
"NZD : New Zealand Dollar,New Zealand Dollar,Cook Islands,Niue,Pitcairn Islands,Tokelau",
"OMR : Omani Rial,Oman Rial",
"PAB : Panamanian Balboa,Panama Balboa",
"PEN : Peruvian Sol,Peru Sol",
"PGK : Papua New Guinean Kina,Papua New Guinea Kina",
"PHP : Philippine Peso,Philippines Peso",
"PKR : Pakistani Rupee,Pakistan Rupee",
"PLN : Polish Zloty,Poland Zloty",
"PYG : Paraguayan Guarani,Paraguay Guarani",
"QAR : Qatari Riyal,Qatar Riyal",
"RON : Romanian Leu,Romania Leu",
"RSD : Serbian Dinar,Serbia Dinar",
"RUB : Russian Ruble,Russia Ruble,Tajikistan,Abkhazia,South Ossetia",
"RWF : Rwandan Franc,Rwanda Franc",
"SAR : Saudi Arabian Riyal,Saudi Arabia Riyal",
"SBD : Solomon Islander Dollar,Solomon Islands Dollar",
"SCR : Seychellois Rupee,Seychelles Rupee",
"SDG : Sudanese Pound,Sudan Pound",
"SEK : Swedish Krona,Sweden Krona",
"SGD : Singapore Dollar,Singapore Dollar",
"SHP : Saint Helenian Pound,Saint Helena Pound",
"SLL : Sierra Leonean Leone,Sierra Leone Leone",
"SOS : Somali Shilling,Somalia Shilling",
"SRD : Surinamese Dollar,Suriname Dollar",
"STN : Sao Tomean Dobra,São Tomé and Príncipe Dobra",
"SVC : Salvadoran Colon,El Salvador Colon",
"SYP : Syrian Pound,Syria Pound",
"SZL : Swazi Lilangeni,eSwatini Lilangeni",
"THB : Thai Baht,Thailand Baht",
"TJS : Tajikistani Somoni,Tajikistan Somoni",
"TMT : Turkmenistani Manat,Turkmenistan Manat",
"TND : Tunisian Dinar,Tunisia Dinar",
"TOP : Tongan Pa'anga,Tonga Pa'anga",
"TRY : Turkish Lira,Turkey Lira,North Cyprus",
"TTD : Trinidadian Dollar,Trinidad and Tobago Dollar,Trinidad,Tobago",
"TWD : Taiwan New Dollar,Taiwan New Dollar",
"TZS : Tanzanian Shilling,Tanzania Shilling",
"UAH : Ukrainian Hryvnia,Ukraine Hryvnia",
"UGX : Ugandan Shilling,Uganda Shilling",
"USD : US Dollar,United States Dollar,America,American Samoa,American Virgin Islands,British Indian Ocean Territory,British Virgin Islands,Ecuador,El Salvador,Guam,Haiti,Micronesia,Northern Mariana Islands,Palau,Panama,Puerto Rico,Turks and Caicos Islands,United States Minor Outlying Islands,Wake Island,East Timor",
"UYU : Uruguayan Peso,Uruguay Peso",
"UZS : Uzbekistani Som,Uzbekistan Som",
"VEF : Venezuelan Bolívar,Venezuela Bolívar",
"VND : Vietnamese Dong,Viet Nam Dong",
"VUV : Ni-Vanuatu Vatu,Vanuatu Vatu",
"WST : Samoan Tala,Samoa Tala",
"XAF : Central African CFA Franc BEAC,Communauté Financière Africaine (BEAC) CFA Franc BEAC,Cameroon,Central African Republic,Chad,Congo/Brazzaville,Equatorial Guinea,Gabon",
"XAG : Silver Ounce,Silver",
"XAU : Gold Ounce,Gold",
"XCD : East Caribbean Dollar,East Caribbean Dollar,Anguilla,Antigua and Barbuda,Dominica,Grenada,The Grenadines and Saint Vincent,Montserrat",
"XDR : IMF Special Drawing Rights,International Monetary Fund (IMF) Special Drawing Rights",
"XOF : CFA Franc,Communauté Financière Africaine (BCEAO) Franc,Benin,Burkina Faso,Ivory Coast,Guinea-Bissau,Mali,Niger,Senegal,Togo",
"XPF : CFP Franc,Comptoirs Français du Pacifique (CFP) Franc,French Polynesia,New Caledonia,Wallis and Futuna Islands",
"YER : Yemeni Rial,Yemen Rial",
"ZAR : South African Rand,South Africa Rand,Lesotho,Namibia",
"ZMK : Zambian Kwacha,Zambia Kwacha",
"ZMW : Zambian Kwacha,Zambia Kwacha",
"ZWL : Zimbabwean Dollar,Zimbabwe Dollar",
]
# The below function calculates the actual conversion
def function1():
query = input(
"Please specify the amount of currency to convert, from currency, to currency (with space in between).\nPress SHOW to see list of currencies available. \nPress Q to quit. \n"
)
if query == "Q":
sys.exit()
elif query == "SHOW":
pprint(currencies)
function1()
else:
qty, fromC, toC = query.split(" ")
fromC = fromC.upper()
toC = toC.upper()
qty = float(round(int(qty), 2))
amount = round(qty * fx[toC] / fx[fromC], 2)
print(f"{qty} of currency {fromC} amounts to {amount} of currency {toC} today")
try:
function1()
except KeyError:
print("You seem to have inputted wrongly, retry!")
function1()
21. Create a simple stopwatch
import tkinter as Tkinter
from datetime import datetime
counter = 0
running = False
def counter_label(label):
def count():
if running:
global counter
# To manage the intial delay.
if counter == 0:
display = 'Ready!'
else:
tt = datetime.utcfromtimestamp(counter)
string = tt.strftime('%H:%M:%S')
display = string
label['text'] = display
# label.after(arg1, arg2) delays by
# first argument given in milliseconds
# and then calls the function given as second argument.
# Generally like here we need to call the
# function in which it is present repeatedly.
# Delays by 1000ms=1 seconds and call count again.
label.after(1000, count)
counter += 1
# Triggering the start of the counter.
count()
# start function of the stopwatch
def Start(label):
global running
running = True
counter_label(label)
start['state'] = 'disabled'
stop['state'] = 'normal'
reset['state'] = 'normal'
# Stop function of the stopwatch
def Stop():
global running
start['state'] = 'normal'
stop['state'] = 'disabled'
reset['state'] = 'normal'
running = False
# Reset function of the stopwatch
def Reset(label):
global counter
counter = 0
# If reset is pressed after pressing stop.
if not running:
reset['state'] = 'disabled'
label['text'] = '00:00:00'
# If reset is pressed while the stopwatch is running.
else:
label['text'] = '00:00:00'
root = Tkinter.Tk()
root.title("Stopwatch")
# Fixing the window size.
root.minsize(width=250, height=70)
label = Tkinter.Label(root, text='Ready!', fg='black', font='Verdana 30 bold')
label.pack()
f = Tkinter.Frame(root)
start = Tkinter.Button(f, text='Start', width=6, command=lambda: Start(label))
stop = Tkinter.Button(f, text='Stop', width=6, state='disabled', command=Stop)
reset = Tkinter.Button(f, text='Reset', width=6, state='disabled', command=lambda: Reset(label))
f.pack(anchor='center', pady=5)
start.pack(side='left')
stop.pack(side='left')
reset.pack(side='left')
root.mainloop()
22. Python script to compress folders and files
import zipfile
import sys
import os
# compress file function
def zip_file(file_path):
compress_file = zipfile.ZipFile(file_path + '.zip', 'w')
compress_file.write(path, compress_type=zipfile.ZIP_DEFLATED)
compress_file.close()
# Declare the function to return all file paths of the particular directory
def retrieve_file_paths(dir_name):
# setup file paths variable
file_paths = []
# Read all directory, subdirectories and file lists
for root, directories, files in os.walk(dir_name):
for filename in files:
# Create the full file path by using os module.
file_path = os.path.join(root, filename)
file_paths.append(file_path)
# return all paths
return file_paths
def zip_dir(dir_path, file_paths):
# write files and folders to a zipfile
compress_dir = zipfile.ZipFile(dir_path + '.zip', 'w')
with compress_dir:
# write each file separately
for file in file_paths:
compress_dir.write(file)
if __name__ == "__main__":
path = sys.argv[1]
if os.path.isdir(path):
files_path = retrieve_file_paths(path)
# print the list of files to be zipped
print('The following list of files will be zipped:')
for file_name in files_path:
print(file_name)
zip_dir(path, files_path)
elif os.path.isfile(path):
print('The %s will be zipped:' % path)
zip_file(path)
else:
print('a special file(socket,FIFO,device file), please input file or dir')
23. Find IMDB Ratings
from bs4 import BeautifulSoup
import requests
import pandas as pd
import os
# Setting up session
s = requests.session()
# List contaiting all the films for which data has to be scraped from IMDB
films = []
# Lists contaiting web scraped data
names = []
ratings = []
genres = []
# Define path where your films are present
# For eg: "/Users/utkarsh/Desktop/films"
path = input("Enter the path where your films are: ")
# Films with extensions
filmswe = os.listdir(path)
for film in filmswe:
# Append into my films list (without extensions)
films.append(os.path.splitext(film)[0])
# print(os.path.splitext(film)[0])
for line in films:
# x = line.split(", ")
title = line.lower()
# release = x[1]
query = "+".join(title.split())
URL = "https://www.imdb.com/search/title/?title=" + query
print(URL)
# print(release)
try:
response = s.get(URL)
#getting contect from IMDB Website
content = response.content
# print(response.status_code)
soup = BeautifulSoup(response.content, features="html.parser")
#searching all films containers found
containers = soup.find_all("div", class_="lister-item-content")
for result in containers:
name1 = result.h3.a.text
name = result.h3.a.text.lower()
# Uncomment below lines if you want year specific as well, define year variable before this
# year = result.h3.find(
# "span", class_="lister-item-year text-muted unbold"
# ).text.lower()
#if film found (searching using name)
if title in name:
#scraping rating
rating = result.find("div",class_="inline-block ratings-imdb-rating")["data-value"]
#scraping genre
genre = result.p.find("span", class_="genre")
genre = genre.contents[0]
#appending name, rating and genre to individual lists
names.append(name1)
ratings.append(rating)
genres.append(genre)
except Exception:
print("Try again with valid combination of tile and release year")
#storing in pandas dataframe
df = pd.DataFrame({'Film Name':names,'Rating':ratings,'Genre':genres})
#making csv using pandas
df.to_csv('film_ratings.csv', index=False, encoding='utf-8')
24. Web Scrapping Youtube Comment
from selenium import webdriver
import csv
import time
items=[]
driver=webdriver.Chrome(r"C:/Users/hp/Anaconda3/chromedriver.exe")
driver.get('https://www.youtube.com/watch?v=iFPMz36std4')
driver.execute_script('window.scrollTo(1, 500);')
#now wait let load the comments
time.sleep(5)
driver.execute_script('window.scrollTo(1, 3000);')
username_elems = driver.find_elements_by_xpath('//*[@id="author-text"]')
comment_elems = driver.find_elements_by_xpath('//*[@id="content-text"]')
for username, comment in zip(username_elems, comment_elems):
item = {}
item['Author'] = username.text
item['Comment'] = comment.text
items.append(item)
filename = 'C:/Users/hp/Desktop/commentlist.csv'
with open(filename, 'w', newline='', encoding='utf-8') as f:
w = csv.DictWriter(f,['Author','Comment'])
w.writeheader()
for item in items:
w.writerow(item)
25. Text To Speech
from gtts import gTTS
import os
file = open("abc.txt", "r").read()
speech = gTTS(text=file, lang='en', slow=False)
speech.save("voice.mp3")
os.system("voice.mp3")
Thank you for reading!
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Top comments (9)
Useful post Thanks for sharing it that truly valuable knowledge about similar topic. Amazing. Have a more successful day. Amazing write-up always finds something interesting. python classes in pune
Thank you! This is very helpful for a beginner to get more practice.
Very nice article!
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Nice article. I will use it to port go and rust languages.
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Awesome, thanks !
Oh no. This projects very easy. I've created not big project on Python with very popular framework - FastAPI. To discover that and write me if you need a help.
github.com/heavenyoung1/fast_api_test