Showing posts with the label top-teradata-blogs

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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

12 Top Teradata Blogs

Teradata is popular among data warehouse projects. I have collected good blogs for developers. Here you will get complete list. The following are 12 top Teradata blogs. Teradata with learn quest Teradata Tutorials Teradata first blog Teradata developer blog Teradata developers recommendations Teradata tuning Teradata fog blog Teradata Bigdata Blog Teradata blog big solutions Teradata Applications Blog Teradata Utilities Teradata Technology Blog Conclusion Not only reading getting knowledge from these blogs, if you feel these are good you can share to your friends.