CODING HACKING DEVELOPERS COLLEGE

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% of the population that speaks fluent English: 🇨🇳 China - 0.5% 🇧🇷 Brazil - 5% 🇷🇺 Russia - 5% 🇦🇷 Argentina - 6.52% 🇮🇳 India - 10.5% 🇧🇩 Bangladesh - 12% 🇲🇽 Mexico - 12.9% 🇹🇷 Turkey - 17% 🇪🇸 Spain - 22% 🇿🇦 South Africa - 31% 🇮🇹 Italy - 34% 🇵🇰 Pakistan - 49~58% 🇬🇷 Greece - 51% 🇳🇬 Nigeria - 53~60% 🇩🇪 Germany - 56% 🇫🇷 France - 57% 🇵🇭 Philippines - 58% 🇧🇪 Belgium - 60% 🇦🇹 Austria - 73% 🇫🇮 Finland - 75% 🇨🇦 Canada - 83% 🇩🇰 Denmark - 86% 🇸🇪 Sweden - 89% 🇳🇴 Norway - 90% 🇦🇺 Australia - 92.8% 🇺🇸 USA - 95.5% 🇸🇬 Singapore - 96.43% 🇳🇿 New Zealand - 97.82% 🇬🇧 UK - 98.3% 🇮🇪 Ireland - 98.37% 🇧🇧 Barbados - 100% 🇬🇮 Gibraltar - 100% According to Crystal, Eurobarometer, US Census Bureau, Census, Mikrozensus, British council and EF etc.

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🔝 Top 5 Code Editors 👨‍💻 For Beginners & Advanced Coders 👍

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🖥 10 Advanced Python Scripts For Everyday Programming 1. SpeedTest with Python


# pip install pyspeedtest
# pip install speedtest
# pip install speedtest-cli

#method 1
import speedtest

speedTest = speedtest.Speedtest()
print(speedTest.get_best_server())

#Check download speed
print(speedTest.download())

#Check upload speed
print(speedTest.upload())

# Method 2

import pyspeedtest
st = pyspeedtest.SpeedTest()
st.ping()
st.download()
st.upload()

2. Search on Google

# pip install google

from googlesearch import search

query = "Medium.com"

for url in search(query):
    print(url)

3. Make Web Bot

# pip install selenium

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

bot = webdriver.Chrome("chromedriver.exe")
bot.get('[http://www.google.com'](http://www.google.com'))

search = bot.find_element_by_name('q')
search.send_keys("@codedev101")
search.send_keys(Keys.RETURN)
time.sleep(5)
bot.quit()

4. Fetch Song Lyrics

# pip install lyricsgenius

import lyricsgenius

api_key = "xxxxxxxxxxxxxxxxxxxxx"

genius = lyricsgenius.Genius(api_key)
artist = genius.search_artist("Pop Smoke", max_songs=5,sort="title")
song = artist.song("100k On a Coupe")

print(song.lyrics)

5. Get Exif Data of Photos

# Get Exif of Photo

# Method 1
# pip install pillow
import PIL.Image
import PIL.ExifTags

img = PIL.Image.open("Img.jpg")
exif_data =
{
    PIL.ExifTags.TAGS[i]: j
    for i, j in img._getexif().items()
    if i in PIL.ExifTags.TAGS
}
print(exif_data)


# Method 2
# pip install ExifRead
import exifread

filename = open(path_name, 'rb')

tags = exifread.process_file(filename)
print(tags)

6. OCR Text from Image

# pip install pytesseract

import pytesseract
from PIL import Image

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

t=Image.open("img.png")
text = pytesseract.image_to_string(t, config='')

print(text)

7. Convert Photo into Cartonize

# pip install opencv-python

import cv2

img = cv2.imread('img.jpg')
grayimg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
grayimg  = cv2.medianBlur(grayimg, 5)

edges = cv2.Laplacian(grayimg , cv2.CV_8U, ksize=5)
r,mask =cv2.threshold(edges,100,255,cv2.THRESH_BINARY_INV)

img2 = cv2.bitwise_and(img, img, mask=mask)
img2 = cv2.medianBlur(img2, 5)

cv2.imwrite("cartooned.jpg", mask)

8. Empty Recycle Bin

# pip install winshell

import winshell
try:
    winshell.recycle_bin().empty(confirm=False, /show_progress=False, sound=True)
    print("Recycle bin is emptied Now")
except:
    print("Recycle bin already empty")

9. Python Image Enhancement

# pip install pillow

from PIL import Image,ImageFilter
from PIL import ImageEnhance

im = Image.open('img.jpg')

# Choose your filter
# add Hastag at start if you don't want to any filter below

en = ImageEnhance.Color(im)
en = ImageEnhance.Contrast(im)
en = ImageEnhance.Brightness(im)
en = ImageEnhance.Sharpness(im)

# result
en.enhance(1.5).show("enhanced")

10. Get Window Version

# Window Version

import wmi
data = wmi.WMI()
for os_name in data.Win32_OperatingSystem():
  print(os_name.Caption) # Microsoft Windows 11 Home

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞38 = CyberJacking and it's types Cyber hijacking, or computer hijacking, is a type of network security attack in which the attacker takes control of computer systems, software programs and/or network communications. ❤️‍🔥𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗟𝗶𝗻𝗸 = 𝗛𝗘𝗥𝗘 🔵Tԋαɳƙʂ Fσɾ Rҽαԃιɳɠ, Jσιɳ @cidint ʄօʀ ʍօʀɛ🔵 🎀 𝒲𝓇𝒾𝓉𝓉𝑒𝓃 𝐵𝓎- - @its_me_kali

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞 37 = INTELLIGENCE AND ITS TYPES Intelligence has been defined in many ways:higher level abilities (such as abstract reasoning, mental representation, problem solving, and decision making), the ability to learn, emotional knowledge, creativity, and adaptation to meet the demands of the environment effectively. ❤️‍🔥𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗟𝗶𝗻𝗸 = 𝗛𝗘𝗥𝗘 🔵Tԋαɳƙʂ Fσɾ Rҽαԃιɳɠ, Jσιɳ @cidint ʄօʀ ʍօʀɛ🔵 🎀 𝒲𝓇𝒾𝓉𝓉𝑒𝓃 𝐵𝓎- - @its_me_kali

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞36 = IOT HACKING IoT hacking can be extremely effective, producing DDoS attacks that can cripple our infrastructure, systems, and way of life. We've all heard of cybersecurity concerns when it comes to IoT devices and there's an inherent risk that comes with connecting more and more devices to the internet and to each other. ❤️‍🔥𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗟𝗶𝗻𝗸 = 𝗛𝗘𝗥𝗘 🔵Tԋαɳƙʂ Fσɾ Rҽαԃιɳɠ, Jσιɳ @cidint ʄօʀ ʍօʀɛ🔵 🎀 𝒲𝓇𝒾𝓉𝓉𝑒𝓃 𝐵𝓎- - @its_me_kali

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞35 = GSM SNIFFING The GSM Sniffing is a process of extracting the complete information regarding the Mobile station dealing from the source port address to destination port address, from the country location to the mobile connected network location, from the amount the packet transmission to the amount of packet received etc. ❤️‍🔥𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗟𝗶𝗻𝗸 = 𝗛𝗘𝗥𝗘 🔵Tԋαɳƙʂ Fσɾ Rҽαԃιɳɠ, Jσιɳ @cidint ʄօʀ ʍօʀɛ🔵 🎀 𝒲𝓇𝒾𝓉𝓉𝑒𝓃 𝐵𝓎- - @its_me_kali

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞34 = THREAT PROTECTION Threat protection (TP) is defined as an array of security solutions that defend against complex malware and cyberattacks that target sensitive data. This technology can help an organization adapt to the ever-changing strategies of cybercriminals and better anticipate and prevent costly security breaches ❤️‍🔥𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗟𝗶𝗻𝗸 = 𝗛𝗘𝗥𝗘 🔵Tԋαɳƙʂ Fσɾ Rҽαԃιɳɠ, Jσιɳ @cidint ʄօʀ ʍօʀɛ🔵 🎀 𝒲𝓇𝒾𝓉𝓉𝑒𝓃 𝐵𝓎- - @its_me_kali

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞33 = ABOUT ICANN The Internet Corporation for Assigned Names and Numbers is an American multistakeholder group and nonprofit organization responsible for coordinating the maintenance and procedures of several databases related to the namespaces and numerical spaces of the Internet, ensuring the network's stable and secure operation 🔵Tԋαɳƙʂ Fσɾ Rҽαԃιɳɠ, Jσιɳ @team_voice_011 ʄօʀ ʍօʀɛ🔵