NickyAlan

#  https://stackoverflow.com/questions/54916400/speech-to-text-in-python-with-a-wav-file

import speech_recognition as sr
r = sr.Recognizer()

hellow=sr.AudioFile('hello_world.wav')
with hellow as source:
    audio = r.record(source)
try:
    s = r.recognize_google(audio)

NickyAlan

<form method="POST" name="form1" onsubmit="IsYoutube()">
    <input type="text" placeholder="Enter Youtube URL" name="URL">
    <button type="submit" name="btn1">Enter</button>
</form>

<script>
   function IsYoutube() {
        var urls = document.forms['form1']['URL'].value.toLowerCase() ;
        if (!urls.includes('youtu')) {
            alert('!Must be Youtube link :)');

NickyAlan

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

#create Data
X = np.array([-10,-7,-4,-1,2,5,8,11,14,17])
y = np.array([0,3,6,9,12,15,18,21,24,27])
X = tf.cast(tf.constant(X),dtype=tf.float32)
y = tf.cast(tf.constant(y),dtype=tf.float32)

NickyAlan

<h1>I'm <span class="auto-type"></span></h1>
<script src="https://cdn.jsdelivr.net/npm/typed.js@2.0.12"></script>
var typed = new Typed('.auto-type',{
            strings: ['NickyGenN','a Python Learner'],
            typeSpeed:220,
            backSpeed:150,
            loop:false
}

NickyAlan

<div class="list-menu" id="menuList">
  ...</div>

<img class="toggle" src="toggle.png" id="toggle" onclick="togglemenu()">
var menuList = document.getElementById('menuList');
menuList.style.display = 'none';
function togglemenu(){
    if (menuList.style.display == 'none'){
        menuList.style.display = 'block'
    }

NickyAlan

import numpy as np
import cv2

size = .5
img = cv2.resize(cv2.imread('https://res09.bignox.com/appcenter/th/2020/06/dde3bac928a9cea8ad9c441c6e28f38c.jpg',0), (0,0), fx=size,fy=size ) # gray scale
ball = cv2.resize(cv2.imread('allain.jpg',0), (0,0), fx=size,fy=size ) # gray scale
h, w = ball.shape

methods = [cv2.TM_CCOEFF, cv2.TM_CCOEFF_NORMED, cv2.TM_CCORR,cv2.TM_CCORR_NORMED,cv2.TM_SQDIFF,cv2.TM_SQDIFF_NORMED]

NickyAlan

def Knn(data):
    X  = np.array([[40,150],
               [50,130],
               [50,170],
               [60,160],
               [70,140],
               [70,180],
               [75,185],
               [120,185],
               [40,130],

NickyAlan

cap = cv2.VideoCapture(0)

while True :
    _,frame = cap.read()
    width = int(cap.get(3))
    height = int(cap.get(4))
    
    hsv = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)
    light_blue = np.array([90,50,50]) 
    dark_blue = np.array([130,255,255]) #Blue

NickyAlan

def Monti(n=1000):
    l = 4
    rocks = np.random.uniform(0,l,(n,2))
    rocks_in_circle = []
    h = l//2
    k = l//2
    r = l//2

    for id,rock in enumerate(rocks):
        if (rock[0]-h)**2 + (rock[1]-k)**2 <= r**2 :

NickyAlan

import matplotlib.pyplot as plt
image = plt.imread('https://www.sweetiescandy.com/wp-content/uploads/2019/06/m-and-ms.jpg')

R = image[:,:,0]
G = image[:,:,1]
B = image[:,:,2]

plt.subplot(2,2,1);plt.imshow(image)
plt.subplot(2,2,2);plt.imshow(R,cmap='gray')
plt.subplot(2,2,3);plt.imshow(G,cmap='gray')