Showing posts with the label python script

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The Quick and Easy Way to Analyze Numpy Arrays

The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par

Python Improved Logic to Calculate Factorial

I am practicing Python programming. In this post, I have explained logic to calculate the factorial using a function. This  function  you can call it a user-defined function. The name of the function is In real-time, you can write a program in a file and run it in python console . The main task of a developer is to create functions for the reusable code. They call these functions whenever they need. Factorial calculation program for supplied input value.   Factorial Logic in Python. I have completed this logic in 3 steps. Write Import Execute it Write  Here you need to define a function. Use 2 for loops, and write your logic. This is done on LInux operating system. You can also try on Linux. After, ESC command Use, :wq to come out of the module. Import Go to Python console, using 'python' command. Use import command. Execute  >>> factorial.fa