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Learning New Things

Abhay Parashar Abhayparashar31

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Learning New Things
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<body>
<form action='' method='POST' name='form'>
<label for="fname">Name:</label><br>
var TO_ADDRESS = "ENTER_YOUR_EMAIL_ID_HERE";
// spit out all the keys/values from the form in HTML for email
// uses an array of keys if provided or the object to determine field order
function formatMailBody(obj, order) {
var result = "";
if (!order) {
order = Object.keys(obj);
}
from dateutil.relativedelta import *
from dateutil.easter import *
from dateutil.rrule import *
from dateutil.parser import *
from datetime import *
now = parse("Tue 11 17:13:46 Dec UTC 2020")
today = now.date()
year = rrule(YEARLY,dtstart=now,bymonth=8,bymonthday=13,byweekday=FR)[0].year
rdelta = relativedelta(easter(year), today)
print("Today is: %s" % today)
'''
content.yaml
cities:
- London
- Kosice
- Los Vegas
- Delhi
- Trencin
companies:
- Microsoft
from pynput.keyboard import Key, Controller,Listener
import time
keyboard = Controller()
keys=[]
def on_press(key):
global keys
string = str(key).replace("'","")
keys.append(string)
main_string = "".join(keys)
print(main_string)
from googletrans import Translator , LANGUAGES
from googletrans.models import Translated
language = list(LANGUAGES.values())
translator = Translator()
translated=translator.translate(text="How are You??", src = 'english', dest = 'hindi')
print(translated)
from googlesearch import search
query = 'what is machine learning?'
for j in search(query, tld="co.in", num=1, stop=5, pause=2): ## it will return a total of 5 links
print(j)
from PIL import Image, ImageOps
img1 = Image.open("img.png") ## Load a imge
img1.show()
img2 = ImageOps.grayscale(img1) ## gray scale
img2.show()
import wikipedia
query = 'Narendra Modi'
results = wikipedia.summary(query, sentences=2) ## change the number of sentence to get a larger words summary
print(results)
import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:
t_end = time.time() + 5
while time.time() < t_end:
print("karl: Listening...")
audio=r.listen(source)
try:
query = r.recognize_google(audio)
print(f"user:{query}")