• May 31, 2023 •CodeCatch
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def generate_floyds_triangle(num_rows): triangle = [] number = 1 for row in range(num_rows): current_row = [] for _ in range(row + 1): current_row.append(number) number += 1 triangle.append(current_row) return triangle def display_floyds_triangle(triangle): for row in triangle: for number in row: print(number, end=" ") print() # Prompt the user for the number of rows num_rows = int(input("Enter the number of rows for Floyd's Triangle: ")) # Generate Floyd's Triangle floyds_triangle = generate_floyds_triangle(num_rows) # Display Floyd's Triangle display_floyds_triangle(floyds_triangle)
• Nov 18, 2022 •AustinLeath
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#Python 3: Fibonacci series up to n def fib(n): a, b = 0, 1 while a < n: print(a, end=' ') a, b = b, a+b print() fib(1000)
• 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
• Nov 19, 2022 •CodeCatch
# Deleting all even numbers from a list a = [1,2,3,4,5] del a[1::2] print(a)
• Jul 8, 2025 •AustinLeath
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from datetime import datetime epoch_time = 1753823646 # Example epoch time (March 15, 2023 00:00:00 UTC) # Convert epoch time to a UTC datetime object utc_datetime = datetime.utcfromtimestamp(epoch_time) print(f"Epoch time: {epoch_time}") print(f"UTC datetime: {utc_datetime}") # You can also format the output string formatted_utc_time = utc_datetime.strftime('%m-%d-%Y %H:%M:%S UTC') print(f"Formatted UTC datetime: {formatted_utc_time}")
• Jul 24, 2024 •AustinLeath
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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])