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The Quick and Easy Way to Analyze Numpy Arrays

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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
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Java in Digital Applications Real Usage

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Recently I found, some of my friends refreshing Java language skills. I asked them why.

They told me many digital applications need proficiency in Java skill.

Java is the top skill, and popular in customization of all the tools involved in digital applications. 

From the above conversation, I can say that at least core Java everyone should be proficient. In addition to that, Java once upon a time popular as web development language.Since Java is being used in all modern applications. 

Of course, there are many other popular languages. Those are Python and Scala.

 

Top List of  Java Applications
  1. Robotic process automation-Daily activities in any offices can be automated with Robotic process automation. Java is the language in this scenario to write backend scripts.
  2. Artificial Intelligence-Each AI application involves some sort of programming logic. Where it validates user input and sends back output. The backend logic often is written in Java.
  3. Full stack development-In this area, web development modernization, and maintenance jobs are more. So to work on these applications you need Java. Java is popular for the past two decades, and many applications already are written using it.
  4. Migration to cloud-The tools involved is CloudFormation need skills in Java. Since all the customizations need proficiency in basic Java.
  5. Blockchain-One of the top platforms. People are using for financial applications where transactions are prone to fraud The script to write in Blockchain needs Java skills.

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