import pandas as pd



x = pd.read_excel(FILE_NAME)

print(x)

import os

# Get the current directory
current_dir = os.getcwd()

# Loop through each file in the current directory
for filename in os.listdir(current_dir):

    # Check if the file name starts with a number followed by a period and a space
    if filename[0].isdigit() and filename[1] == '.' and filename[2] == ' ':
        
        # Remove the number, period, and space from the file name
        new_filename = filename[3:]
        
        # Rename the file
        os.rename(os.path.join(current_dir, filename), os.path.join(current_dir, new_filename))

class Rectangle:
    pass

class Square(Rectangle):
    pass

rectangle = Rectangle()
square = Square()

print(isinstance(rectangle, Rectangle))  # True
print(isinstance(square, Rectangle))     # True
print(isinstance(square, Square))        # True
print(isinstance(rectangle, Square))     # False

#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)

#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)

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])