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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

Five real ideas you need to get Success from failures

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The list looks so small. But these are so powerful. I hate that expression! And everyone seems to use it. Got fired from your job? It is what it is. Lost your savings? It is what it is. Put on 50 pounds? It is what it is. Never use It is what it is Stop saying “it is what it is.” The expression is a mantra for losers.  Be honest with yourself. Halfway through the tryout, you thought it wasn’t going well, so you stopped pushing yourself, didn’t you?  “Tryouts didn’t go well because you didn’t try your hardest. You gave up mentally, so you gave up physically.”  When you fail, figure out why ? It’s my fault. It’s always my fault—thats way I am in control. Adopted from www.success.com

Career in analytics these 3 are top tips you need

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There is a big question to be successful in analytics career. I am giving most popular ideas to be successful in this analytics career. Gettyimages.in There are absolutely three... The tip number one is you need to be familiar with different types of analytics. Web Analytics Financial Analytics Marketing Analytics Education Analytics Retail Analytics Health Care Analytics The second one is you should have right kind of training at less expensive way. In the booming Analytics Industry, one needs right course of training and experience, and working experience of case studies on selected analytics area, really boost your career. I am sure Udemy is offering lot of courses . The third rule and idea is correct mindset Assertive Communication   BE PROACTIVE - Be Proactive is about taking responsibility for your life. You can't keep blaming everything on your parents or grandparents. Proactive people recognize that they are "response-able." They don'