• Mar 12, 2021 •mo_ak
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prime_lists=[] # a list to store the prime numbers def prime(n): # define prime numbers if n <= 1: return False # divide n by 2... up to n-1 for i in range(2, n): if n % i == 0: # the remainder should'nt be a 0 return False else: prime_lists.append(n) return True for n in range(30,1000): # calling function and passing starting point =30 coz we need primes >30 prime(n) check=0 # a var to limit the output to 10 only for n in prime_lists: for x in prime_lists: val= n *x if (val > 1000 ): check=check +1 if (check <10) : print("the num is:", val , "=",n , "* ", x ) break
• Jan 23, 2021 •asnark
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""" Take screenshots at x interval - make a movie of doings on a computer. """ import time from datetime import datetime import ffmpeg import pyautogui while True: epoch_time = int(time.time()) today = datetime.now().strftime("%Y_%m_%d") filename = str(epoch_time) + ".png" print("taking screenshot: {0}".format(filename)) myScreenshot = pyautogui.screenshot() myScreenshot.save(today + "/" + filename) time.sleep(5) # # and then tie it together with: https://github.com/kkroening/ffmpeg-python/blob/master/examples/README.md#assemble-video-from-sequence-of-frames # """ import ffmpeg ( ffmpeg .input('./2021_01_22/*.png', pattern_type='glob', framerate=25) .filter('deflicker', mode='pm', size=10) .filter('scale', size='hd1080', force_original_aspect_ratio='increase') .output('movie.mp4', crf=20, preset='slower', movflags='faststart', pix_fmt='yuv420p') .run() ) """
• Nov 19, 2022 •CodeCatch
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#Python program to print topological sorting of a DAG from collections import defaultdict #Class to represent a graph class Graph: def __init__(self,vertices): self.graph = defaultdict(list) #dictionary containing adjacency List self.V = vertices #No. of vertices # function to add an edge to graph def addEdge(self,u,v): self.graph[u].append(v) # A recursive function used by topologicalSort def topologicalSortUtil(self,v,visited,stack): # Mark the current node as visited. visited[v] = True # Recur for all the vertices adjacent to this vertex for i in self.graph[v]: if visited[i] == False: self.topologicalSortUtil(i,visited,stack) # Push current vertex to stack which stores result stack.insert(0,v) # The function to do Topological Sort. It uses recursive # topologicalSortUtil() def topologicalSort(self): # Mark all the vertices as not visited visited = [False]*self.V stack =[] # Call the recursive helper function to store Topological # Sort starting from all vertices one by one for i in range(self.V): if visited[i] == False: self.topologicalSortUtil(i,visited,stack) # Print contents of stack print(stack) g= Graph(6) g.addEdge(5, 2); g.addEdge(5, 0); g.addEdge(4, 0); g.addEdge(4, 1); g.addEdge(2, 3); g.addEdge(3, 1); print("Following is a Topological Sort of the given graph") g.topologicalSort()
• Sep 14, 2024 •rgannedo-6205
# Python binary search function def binary_search(arr, target): left = 0 right = len(arr) - 1 while left <= right: mid = (left + right) // 2 if arr[mid] == target: return mid elif arr[mid] < target: left = mid + 1 else: right = mid - 1 return -1 # Usage arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] target = 7 result = binary_search(arr, target) if result != -1: print(f"Element is present at index {result}") else: print("Element is not present in array")
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# Python code to demonstrate # method to remove i'th character # Naive Method # Initializing String test_str = "CodeCatch" # Printing original string print ("The original string is : " + test_str) # Removing char at pos 3 # using loop new_str = "" for i in range(len(test_str)): if i != 2: new_str = new_str + test_str[i] # Printing string after removal print ("The string after removal of i'th character : " + new_str)
• Jul 24, 2024 •AustinLeath
from statistics import median, mean, mode def print_stats(array): print(array) print("median =", median(array)) print("mean =", mean(array)) print("mode =", mode(array)) print() print_stats([1, 2, 3, 3, 4]) print_stats([1, 2, 3, 3])