10 Simple Python Snippets for Web Development, Automation, and Data Science

import string
from random import *
characters = string.ascii_letters + string.punctuation + string.digits
password = "".join(choice(characters) for x in range(randint(8, 16)))
print(password)

from googlesearch import search
query = "Graham Zemel"
for url in search(query):
    print(url)

import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys

bot = webdriver.Chrome(“chromedriver.exe”)
bot.get('https://grahamzemel.com')

search = bot.find_element(By.XPATH, '/html/body/div[2]/div[6]/div/div/main/div/div[3]')
# useful method:
# search.send_keys("Hello World")
search.click()
time.sleep(5)
# bot.quit()

# Find current path of Python script
import sys
print(sys.path)

# my_module example: '/Users/grahamzemel/my_module' (no need to include '.py')
import my_module
my_module.my_function()

import pandas as pd
from faker import Faker

# Create object
fake = Faker()

# Generate data
fake.name()
fake.text()
fake.address()
fake.email()
fake.date()
fake.country()
fake.phone_number()
fake.random_number(digits=5)

# Dataframe creation
fakeDataframe = pd.DataFrame({'date':[fake.date() for i in range(5)],
                         'name':[fake.name() for i in range(5)],
                         'email':[fake.email() for i in range(5)],
                         'text':[fake.text() for i in range(5)]})

print(fakeDataframe)

number = 1234.56
percentage = 0.33
big_number = 149839020429482

print(f'No formatting: {number}' # self explanatory
      f'\nVariable name: {number = }' # self explanatory
      f'\nConverted to two decimal place: {number:.2f}' # You can choose any number 
      f'\nChanging wide characters to 30: {number:30}' # The field will be 30 characters wide
      f'\nAlign response to center: {number:^30}' # Left-aligned = less than 30 | right-aligned = greater than 30
      f'\nFill white spaces: {number:=^30}' # Fill white spaces with any character
      f'\nPrinting percent: {percentage_number:.2%}' # Multiply by 100 and add % symbol
      f'\nTwo decimal places w/ comma: {high_number:,.2f}' 
      f'\nTwo decimal places w/ scientific notation: {high_number:.2e}'
     )

import pandas as pd
import numpy as np
from tqdm import tqdm

# Generate a dataframe with random numbers of shape 1,000 x 1,000
df = pd.DataFrame(np.random.randint(0, 100, (100000, 1000)))

# Register `pandas.progress_apply` with `tqdm`
tqdm.pandas(desc='Processing Dataframe')

# Add 3 to each value then cube for entire dataframe
df.progress_apply(lambda x: (x+3)**3)

Processing Dataframe: 100%|██████████| 1000/1000 [00:02<00:00, 336.21it/s]

import sys

nato_alphabet = {
    'a': 'alpha',
    'b': 'bravo',
    'c': 'charlie',
    'd': 'delta',
    'e': 'echo',
    'f': 'foxtrot',
    'g': 'golf',
    'h': 'hotel',
    'i': 'india',
    'j': 'juliet',
    'k': 'kilo',
    'l': 'lima',
    'm': 'mike',
    'n': 'november',
    'o': 'oscar',
    'p': 'papa',
    'q': 'quebec',
    'r': 'romeo',
    's': 'sierra',
    't': 'tango',
    'u': 'uniform',
    'v': 'victor',
    'w': 'whiskey',
    'x': 'x-ray',
    'y': 'yankee',
    'z': 'zulu'
}

try:
    sys.argv[1]
except:
    print("Usage: natoalphabet.py <word>")
    exit(1)

for letter in sys.argv[1]:
    if letter.lower() not in nato_alphabet:
        print(letter)
    else:
        print(nato_alphabet[letter])

python3 natoalphabet.py Graham

from PIL import Image, ImageFilter
    
    try:
        original = Image.open("imagename.png")
    
        # Blur the image
        blurred = original.filter(ImageFilter.BLUR)
    
        # Display both images
        original.show()
        blurred.show()
    
        blurred.save("blurred.png")
    
    except:
        print "Unable to load image"

import requests
r = requests.get('https://blog.grahamzemel.com')
print(r.status_code)