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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

5 Tableau Features Useful for Data Analytics

Below are the top Tableau features for data analytics. Tableau 9 for Data Science engineers. CONNECTING TO LOCAL FILE  Tableau can connect to any local file or database such as Excel  Text File Access  Statistical File, or  Another Database file CONNECTING TO SERVER Tableau can connect to your data server too. It can connect to almost any type of data server. Below are some of the most popular databases that Tableau can connect: Tableau Server Google Analytics Google BigQuery Hortonworks Hadoop Hive MapR Hadoop Hive IBM DB2 IBM BigInsights IBM Netezza Microsoft SQL Server Microsoft Analysis Services Oracle Oracle Essbase MySQL PostgreSQL SAP While working on Tableau, data can have Live Connection where any change in the source data will be automatically updated in Tableau. On the other hand, data can be Extracted to the Tableau repository so that any change made here will not affect the original source data. CONNECTING TO EXCEL FILE To connect