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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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15 awesome Java Interview Questions to know

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Java interview is one of the tough interviews for developers coming from other technologies. So I have given very basic interview questions they asked. Really awesome to know these questions. 1. What is JVM? Why is Java called the ‘Platform Independent Programming Language’? JVM, or the Java Virtual Machine, is an interpreter that accepts ‘Bytecode’ and executes it. Java has been termed as a ‘Platform Independent Language’ as it primarily works on the notion of ‘compile once, run everywhere’. Here’s a sequential step establishing the Platform independence feature in Java: The Java Compiler outputs Non-Executable Codes called ‘Bytecode’. Bytecode is a highly optimized set of a computer instruction which could be executed by the Java Virtual Machine (JVM). The translation into Bytecode makes a program easier to be executed across a wide range of platforms since all we need is a JVM designed for that particular platform. JVMs for various platforms might vary in configuration, those they w
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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 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. 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. Full stack development
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