• May 5, 2026 •CodeCatch
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• Oct 10, 2025 •AustinLeath
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#Original def output_json_log_data_to_file(filename, record_dictionary_list): with open(filename, 'w') as outputFile: for record in record_dictionary_list: json.dump(record, outputFile) outputFile.write('\n') #Atomic def output_json_log_data_to_file(filename, record_dictionary_list): # Use atomic file operations to prevent race conditions with readers # Write to temporary file first, then atomically rename to target file tmp_filename = filename + '.tmp' with open(tmp_filename, 'w') as outputFile: for record in record_dictionary_list: json.dump(record, outputFile) outputFile.write('\n') # Atomic rename - this prevents readers from seeing partial writes shutil.move(tmp_filename, filename)
• Nov 19, 2022 •CodeCatch
# Given a number n, print all primes smaller than or equal to n. It is also given that n is a small number. # For example, if n is 10, the output should be “2, 3, 5, 7”. If n is 20, the output should be “2, 3, 5, 7, 11, 13, 17, 19”. # Python program to print all primes smaller than or equal to # n using Sieve of Eratosthenes def SieveOfEratosthenes(n): # Create a boolean array "prime[0..n]" and initialize # all entries it as true. A value in prime[i] will # finally be false if i is Not a prime, else true. prime = [True for i in range(n + 1)] p = 2 while (p * p <= n): # If prime[p] is not changed, then it is a prime if (prime[p] == True): # Update all multiples of p for i in range(p * 2, n + 1, p): prime[i] = False p += 1 prime[0]= False prime[1]= False # Print all prime numbers for p in range(n + 1): if prime[p]: print (p) # driver program if __name__=='__main__': n = 30 print("Following are the prime numbers smaller") print("than or equal to ", n) print("than or equal to ", n) SieveOfEratosthenes(n)
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list_1 = [1,2,3,4,5,6,7,8,9] cubed = map(lambda x: pow(x,3), list_1) print(list(cubed)) #Results #[1, 8, 27, 64, 125, 216, 343, 512, 729]
• Oct 7, 2022 •KETRICK
import pandas as pd x = pd.read_excel(FILE_NAME) print(x)
• Dec 18, 2025 •CodeCatch
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def insertion_sort(arr): # Traverse through 1 to len(arr) for i in range(1, len(arr)): key = arr[i] # Move elements of arr[0..i-1], that are greater than key, # to one position ahead of their current position j = i - 1 while j >= 0 and key < arr[j]: arr[j + 1] = arr[j] j -= 1 arr[j + 1] = key # Example usage: arr = [12, 11, 13, 5, 6, 7, 8, 10] insertion_sort(arr) print("Sorted array is:", arr)