old_contents: '''
  2.1 - Numpy Array library
  '''
  #!/usr/bin/env
  import numpy as np
  
  def main():
      ''''
      # 1) Create two vectors 'a' and 'b', and sum them.
      # Standart
      n = 3
      a = [x**2 for x in range(1, n + 1)]
      b = [x**3 for x in range(1, n + 1)]
      v = plainVectorAddition(a, b)
      # Numpy
      n = 3
      a = np.arange(1, n + 1) ** 2
      b = np.arange(1, n + 1) ** 3
      v = npSum(a, b)
      '''
      print(v)
  
  
  def plainSum(a, b):
      '''
      Sum two vectors using standart python functions
      '''
      return [i + j for i,j in zip(a,b)]
  
  def npSum(a, b):
      return a + b
  
  
  
  if __name__ == '__main__':
      main()
  
new_contents: '''
  2.1 - Numpy Array library
   - Sum of two vectors - 
   
   Usage: python smpl4.py n
  
   Where 'n' specifies the size of the vector.
   The program make performance comparisons and print the results.
  
  '''
  #!/usr/bin/env
  import numpy as np
  import sys
  from datetime import datetime
  
  def main():
      size = int(sys.argv[1])
      start = datetime.now()
      v = plainSum(size)
      delta = datetime.now() - start
      print("plainSum() - elapsed time: ",delta)
      start = datetime.now()
      v = npSum(size)
      delta = datetime.now() - start
      print("npSum() - elapsed time: ",delta)
      ''''
      # 1) Create two vectors 'a' and 'b', and sum them.
      # Standart
      size = int(sys.argv[1])   
      v = plainVectorAddition(a, b)    
      # Numpy
      size = int(sys.argv[1])
      v = npSum(a, b)
      '''
      #print(v)
  
  
  
  def plainSum(n):
      '''
      Sum two vectors using standart python functions
      '''
      a = [x**2 for x in range(1, n + 1)]
      b = [x**3 for x in range(1, n + 1)]
      return [i + j for i,j in zip(a,b)]
  
  def npSum(n):
      '''
      Sum two vectors using numpy functions
      '''
      a = np.arange(1, n + 1) ** 2
      b = np.arange(1, n + 1) ** 3
      return a + b
  
  
  if __name__ == '__main__':
      main()
  
subject: Add file with linear algebra numpy operations